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1{2 "record_id": "755578f10943061d8e5adfd02909b14166725d76",3 "eligible": true,4 "exclusion_reason": null,5 "study": {6  "title": "Influence of the Urban Green Spaces of Seville (Spain) on Housing Prices through the Hedonic Assessment Methodology and Geospatial Analysis",7  "year": 2022,8  "doi": "10.3390/su142416613",9  "country": "Spain",10  "region_city": "Seville",11  "sample_start": 2022,12  "sample_end": 2022,13  "property_type": "unknown",14  "price_type": "listing",15  "data_source": "1000 dwellings for sale on Idealista.com, Seville, collected August 2022 (stratified random sample across 10 district groups)",16  "document_type": "journal",17  "estimators": [18   "OLS"19  ],20  "spatial_method": "none (ordinary kriging used separately for price surface)",21  "time_fe": false,22  "location_fe": false,23  "se_type": "unknown",24  "n_obs_total": 1000,25  "ai_methods": [],26  "notes": "Sustainability 14(24), 16613. Dependent variable EUR/m2 (Table 2 text). Tables 5-6 print coefficient, standard error, Student's t and probability in columns, but t-values are inconsistent with coefficient/SE (e.g. Size 30.032/0.039 vs t = 1.7) and all p = 0.000 - the tables appear garbled; all coefficients recorded with confidence 'low'. Property sale semester dummy listed in Table 2 but not reported. Reciprocal model (eq. 8: P = 5581.151 - 344,864.49/S, R2 = 0.42) not extracted. Flag for human review."27 },28 "models": [29  {30   "model_id": "T5-c1",31   "table": "5",32   "column": "1",33   "page": 8,34   "dep_var": "Asking price per m2 (EUR/m2)",35   "dep_transform": "per_m2",36   "estimator": "OLS",37   "n_obs": 1000,38   "r2": 0.721,39   "se_or_t_in_parentheses": "none",40   "sample_subset": "Linear HPM, 1000 Idealista listings, Seville, August 2022; r = 0.85, R2 = 0.721, p <= 0.001; SE and t printed in separate columns; rooms variable not retained"41  },42  {43   "model_id": "T6-c1",44   "table": "6",45   "column": "1",46   "page": 9,47   "dep_var": "Asking price per m2 (EUR/m2), 'logarithmic model' (functional form not written out; likely regressors in logs)",48   "dep_transform": "other",49   "estimator": "OLS",50   "n_obs": 1000,51   "r2": 0.667,52   "se_or_t_in_parentheses": "none",53   "sample_subset": "Logarithmic HPM; r = 0.816, R2 = 0.667, p <= 0.001; size variable not retained (rooms instead)"54  }55 ],56 "coefficients": [57  {58   "model_id": "T5-c1",59   "var_name_printed": "Size (m2)",60   "taxonomy_id": "living_area",61   "x_transform": "level",62   "x_unit": "m2",63   "beta": 30.032,64   "se": 0.039,65   "t": 1.7,66   "p": 0.0,67   "p_stars": "",68   "ci_lo": null,69   "ci_hi": null,70   "page": 8,71   "confidence": "low",72   "notes": "Property area in m2; Printed statistics are internally inconsistent (Student's t differs from coefficient/SE by orders of magnitude; all p printed 0.000) - table likely garbled at source; do not use without checking the publisher version"73  },74  {75   "model_id": "T5-c1",76   "var_name_printed": "Baths (n)",77   "taxonomy_id": "bathrooms",78   "x_transform": "level",79   "x_unit": "count",80   "beta": 98.725,81   "se": 0.042,82   "t": 0.14,83   "p": 0.0,84   "p_stars": "",85   "ci_lo": null,86   "ci_hi": null,87   "page": 8,88   "confidence": "low",89   "notes": "Printed statistics are internally inconsistent (Student's t differs from coefficient/SE by orders of magnitude; all p printed 0.000) - table likely garbled at source; do not use without checking the publisher version"90  },91  {92   "model_id": "T5-c1",93   "var_name_printed": "Age (years)",94   "taxonomy_id": "age",95   "x_transform": "level",96   "x_unit": "years",97   "beta": -53.31,98   "se": 1.42,99   "t": -1.42,100   "p": 0.0,101   "p_stars": "",102   "ci_lo": null,103   "ci_hi": null,104   "page": 8,105   "confidence": "low",106   "notes": "Printed statistics are internally inconsistent (Student's t differs from coefficient/SE by orders of magnitude; all p printed 0.000) - table likely garbled at source; do not use without checking the publisher version"107  },108  {109   "model_id": "T5-c1",110   "var_name_printed": "Green area (m2/inh)",111   "taxonomy_id": "green_space",112   "x_transform": "level",113   "x_unit": "m2 per inhabitant",114   "beta": 11.145,115   "se": 0.87,116   "t": 0.872,117   "p": 0.0,118   "p_stars": "",119   "ci_lo": null,120   "ci_hi": null,121   "page": 8,122   "confidence": "low",123   "notes": "Green area per inhabitant in the set of districts (district-level variable); Printed statistics are internally inconsistent (Student's t differs from coefficient/SE by orders of magnitude; all p printed 0.000) - table likely garbled at source; do not use without checking the publisher version"124  },125  {126   "model_id": "T6-c1",127   "var_name_printed": "Room",128   "taxonomy_id": "bedrooms",129   "x_transform": "other",130   "x_unit": "count",131   "beta": 1.39,132   "se": 1.08,133   "t": 1.29,134   "p": 0.0,135   "p_stars": "",136   "ci_lo": null,137   "ci_hi": null,138   "page": 9,139   "confidence": "low",140   "notes": "Number of bedrooms; transformation in 'logarithmic model' not stated; Printed statistics are internally inconsistent (Student's t differs from coefficient/SE by orders of magnitude; all p printed 0.000) - table likely garbled at source; do not use without checking the publisher version"141  },142  {143   "model_id": "T6-c1",144   "var_name_printed": "Baths (n)",145   "taxonomy_id": "bathrooms",146   "x_transform": "other",147   "x_unit": "count",148   "beta": 0.26,149   "se": 0.6,150   "t": 0.432,151   "p": 0.0,152   "p_stars": "",153   "ci_lo": null,154   "ci_hi": null,155   "page": 9,156   "confidence": "low",157   "notes": "transformation not stated; Printed statistics are internally inconsistent (Student's t differs from coefficient/SE by orders of magnitude; all p printed 0.000) - table likely garbled at source; do not use without checking the publisher version"158  },159  {160   "model_id": "T6-c1",161   "var_name_printed": "Age (years)",162   "taxonomy_id": "age",163   "x_transform": "other",164   "x_unit": "years",165   "beta": -0.365,166   "se": 0.205,167   "t": -1.78,168   "p": 0.0,169   "p_stars": "",170   "ci_lo": null,171   "ci_hi": null,172   "page": 9,173   "confidence": "low",174   "notes": "transformation not stated; Printed statistics are internally inconsistent (Student's t differs from coefficient/SE by orders of magnitude; all p printed 0.000) - table likely garbled at source; do not use without checking the publisher version"175  },176  {177   "model_id": "T6-c1",178   "var_name_printed": "Green area (m2/inh)",179   "taxonomy_id": "green_space",180   "x_transform": "other",181   "x_unit": "m2 per inhabitant",182   "beta": -0.013,183   "se": 0.13,184   "t": -0.1,185   "p": 0.0,186   "p_stars": "",187   "ci_lo": null,188   "ci_hi": null,189   "page": 9,190   "confidence": "low",191   "notes": "district-level; transformation not stated; Printed statistics are internally inconsistent (Student's t differs from coefficient/SE by orders of magnitude; all p printed 0.000) - table likely garbled at source; do not use without checking the publisher version"192  }193 ]194}