1[2 {"id":"C1","text":"Of five studies, four could be harmonised to theta = ln(T_AI/T_noAI); S5 (DiD on GitHub output counts around the Italian ChatGPT ban) is not harmonisable.","results_keys":["k_extracted","k_harmonised","items"],"status":"supported","caveat":"Harmonisability judged under the TASK.md conventions."},3 {"id":"C2","text":"Only S1 and S4 are poolable; S2 (CI only in a non-reproduced figure) and S3 (stars only) lack an obtainable SE.","results_keys":["k_pooled","items"],"status":"supported","caveat":"S4's SE is approximate, recovered from p = 0.471."},4 {"id":"C3","text":"The random-effects pooled theta is -0.188 (95% CI -0.396 to 0.020), about a 17% reduction in completion time, not significant at 5%.","results_keys":["re_estimate","re_ci_low","re_ci_high","pooled_pct_change_re","pooled_significant_5pct"],"status":"supported","caveat":"k = 2; fixed- and random-effects estimates coincide because tau2 = 0."},5 {"id":"C4","text":"Statistical heterogeneity between the pooled studies is low (Q = 0.32, I2 = 0%, tau2 = 0).","results_keys":["q_stat","i2","tau2","heterogeneity_interpretation"],"status":"supported","caveat":"With df = 1 the test has negligible power; the unpooled S2 (+0.174) and S3 (-0.354) point in opposite directions, so real heterogeneity is likely."},6 {"id":"C5","text":"The evidence does not support a firm conclusion that generative-AI assistance shortens task-completion time in general.","results_keys":["pooled_significant_5pct","k_pooled","items"],"status":"supported","caveat":"Interpretive conclusion based on the non-significant pooled interval, k = 2, and the omitted conflicting studies."}7]8