[
 {"id":"C1","text":"The analysis year is 2023, with 197 countries/economies analysed and 20 excluded for a missing indicator (all missing GDP).","results_keys":["analysis_year","n_analysed","n_excluded_missing","complete_countries_by_year"],"status":"supported","caveat":"Year determined mechanically by the >=150 rule."},
 {"id":"C2","text":"Life expectancy rises by about 5.27 years per log-point of GDP per capita (OLS slope, intercept 22.57).","results_keys":["effect_estimate","intercept"],"status":"supported","caveat":"Descriptive, equal-weighted association; not causal."},
 {"id":"C3","text":"The 95% HC3-robust CI [4.85, 5.68] lies entirely above zero, so the conclusion is positive_effect.","results_keys":["effect_se","effect_ci_low","effect_ci_high","conclusion","effect_se_type"],"status":"supported","caveat":"Assumes independent countries; spatial/regional dependence not addressed."},
 {"id":"C4","text":"The relationship is strong: r = 0.86, R^2 = 0.74, and log income roughly halves prediction error relative to the mean-only baseline (RMSE 3.59 vs 7.08 years).","results_keys":["pearson_r","r_squared","model_metric","baseline_metric"],"status":"supported","caveat":"In-sample fit; no out-of-sample evaluation."},
 {"id":"C5","text":"The inference is robust to the choice of SE estimator (HC0-HC3, classical) and to dropping the 5 largest residuals (slope 5.32).","results_keys":["sensitivity_se_hc0","sensitivity_se_hc1","sensitivity_se_hc2","sensitivity_se_classical","sensitivity_trim5_effect","sensitivity_trim5_dropped_iso3"],"status":"supported","caveat":"Does not address bias from non-random missingness of the 20 excluded economies."}
]