{"id":"W2144793388","doi":"","title":"An Empirical Analysis of the Child Labor in the Carpet Industry of Kashmir: Some Major Findings","year":2011,"lang":"en","type":"article","venue":"","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Psychology; Demographic economics; Family income; Economic growth; Business; Sociology; Economics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001395109,0.0002528225,0.0002372907,0.001676112,0.001444925,0.0008375092,0.0007520262,0.0003605558,0.003524872],"category_scores_gemma":[0.003122568,0.0002660808,0.0002547741,0.003765904,0.001440581,0.0007380434,0.0008749419,0.0005766931,0.0003239142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134385,"about_ca_system_score_gemma":0.001716173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03744324,"about_ca_topic_score_gemma":0.06124956,"domain_scores_codex":[0.9991775,0.0002965553,0.00003885392,0.00008727106,0.0001610174,0.0002387771],"domain_scores_gemma":[0.9973809,0.001618943,0.0004363453,0.00006982882,0.0002826738,0.0002112776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008048979,0.0001434389,0.9385099,0.0002326738,0.00002148101,0.001226209,0.05055052,0.00008276918,0.0006203244,0.0009440664,0.0002825391,0.00730564],"study_design_scores_gemma":[0.000002020485,0.00008297672,0.8560082,0.00005105032,0.00000904652,0.0002356305,0.1424681,0.00009794059,0.0001557059,0.00005123507,0.0008316452,0.000006444449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998767,0.0001560825,0.00003327355,0.00009088811,0.000001583349,0.000008096104,0.00006239278,4.506395e-7,0.0008803493],"genre_scores_gemma":[0.9989012,0.0003326055,0.00008821528,0.00004694815,0.000004037543,0.00001202209,0.00009633787,8.459738e-7,0.0005177009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03744324,"threshold_uncertainty_score":0.07445061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02726123356428514,"score_gpt":0.3169913653256933,"score_spread":0.2897301317614082,"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."}}