{"id":"W1536409100","doi":"10.3386/w19602","title":"Perverse Consequences of Well Intentioned Regulation: Evidence from India's Child Labor Ban","year":2013,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Labour economics; Development economics; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00406367,0.000286291,0.0003939956,0.001436325,0.001343833,0.002205672,0.001403827,0.001205609,0.005403219],"category_scores_gemma":[0.01526243,0.0002483373,0.0006570172,0.002740861,0.004732109,0.000852875,0.002138156,0.00214865,0.0007151773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001415101,"about_ca_system_score_gemma":0.001776743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04128544,"about_ca_topic_score_gemma":0.04731891,"domain_scores_codex":[0.9951603,0.001930327,0.0002865915,0.0004286423,0.001430389,0.0007638482],"domain_scores_gemma":[0.9563476,0.01913496,0.0178798,0.003184493,0.002455731,0.0009974064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001287398,0.001393369,0.9028932,0.0007571757,0.0008356948,0.001167617,0.007088551,0.001689668,0.0006924177,0.01764534,0.008336754,0.05621299],"study_design_scores_gemma":[0.00006959645,0.0004132403,0.9778014,0.0002525859,0.000360912,0.0002558862,0.006125939,0.0003082614,0.0008905146,0.002695629,0.01078562,0.00004047317],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374774,0.003679012,0.0005040424,0.005308765,0.0001036077,0.00006071655,0.00131455,0.00002185983,0.05152999],"genre_scores_gemma":[0.9937333,0.002865838,0.0001306434,0.001507391,0.00006956369,0.00001953767,0.0003936005,0.000007884226,0.001272301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04128544,"threshold_uncertainty_score":0.08209032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2303633303416903,"score_gpt":0.4797474859511127,"score_spread":0.2493841556094225,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}