{"id":"W2063256841","doi":"10.1057/palgrave.development.1110124","title":"Preventing Child Labour in Colombia","year":2000,"lang":"en","type":"article","venue":"Development","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Child labour; Latin Americans; Quarter (Canadian coin); Biology; Work (physics); Corporation; Economic growth; Socioeconomics; Agricultural economics; Economics; Political science; Geography; Engineering; Archaeology","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":[0.0003141284,0.0003197055,0.0001994302,0.0009740781,0.001342932,0.0008682982,0.0005136668,0.0006959437,0.002539337],"category_scores_gemma":[0.001201699,0.0001384929,0.0001767735,0.0006436071,0.0004272855,0.0002778304,0.001370748,0.0007553991,0.0001070448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005080509,"about_ca_system_score_gemma":0.00641093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2552319,"about_ca_topic_score_gemma":0.4586177,"domain_scores_codex":[0.9996463,0.00008988981,0.00001284611,0.00001657759,0.00002458641,0.000209764],"domain_scores_gemma":[0.9995797,0.00007336419,0.00006388091,0.00001110037,0.00006198048,0.0002099822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006424952,0.001119234,0.5971634,0.002592486,0.00009646871,0.002972215,0.01059129,0.001980746,0.003552201,0.02861734,0.02342404,0.3272482],"study_design_scores_gemma":[0.0001815976,0.0005407705,0.8546675,0.001241976,0.0001824365,0.000726346,0.02477648,0.001034208,0.0016658,0.002677784,0.1122614,0.00004378731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9119661,0.01798607,0.0003332208,0.0117446,0.0001945256,0.000175068,0.0007878289,0.00004433788,0.05676827],"genre_scores_gemma":[0.9858931,0.007083065,0.0005406121,0.000679643,0.00004362899,0.00008143346,0.0002000265,0.000004540945,0.005473899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2552319,"threshold_uncertainty_score":0.5074925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009586321409348808,"score_gpt":0.2593843016991223,"score_spread":0.2497979802897735,"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."}}