{"id":"W4398933245","doi":"10.7910/dvn/qhq756","title":"PROSPERED Data Manual: Child Labour","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Child labour; Labour economics; Economics; Engineering; Work (physics); Mechanical engineering","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":[0.001945731,0.001551363,0.00118611,0.004390033,0.000811047,0.001828472,0.002683775,0.001556825,0.07956723],"category_scores_gemma":[0.008794222,0.0007379386,0.001222563,0.008541819,0.0004189071,0.001352751,0.001799857,0.002177222,0.09429831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016063,"about_ca_system_score_gemma":0.003051262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04839106,"about_ca_topic_score_gemma":0.07381385,"domain_scores_codex":[0.9987217,0.0002798623,0.0002309337,0.000280042,0.000287218,0.0002002244],"domain_scores_gemma":[0.9962549,0.0009213855,0.0004428159,0.0007602394,0.001209572,0.0004110149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001916971,0.000008995792,0.0005920645,0.0001225418,0.000009943438,0.000008464396,0.0000105434,0.0000656972,0.00001655964,0.0002620363,0.9977918,0.001092087],"study_design_scores_gemma":[0.000265945,0.00001920096,0.009787424,0.0003330408,0.00002604553,0.00008491768,0.0001385175,0.0002984297,0.0001733945,0.001372671,0.9874657,0.00003475367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008893909,0.00003516521,0.00005001884,0.0000557342,0.00001441412,0.00000926034,0.9992409,0.0001204867,0.000385183],"genre_scores_gemma":[0.0002664581,0.00003716968,0.0001981042,0.00004748234,0.000007956518,0.00008911605,0.9985723,0.00005150813,0.0007298944],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07956723,"threshold_uncertainty_score":0.2661789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08373927770835188,"score_gpt":0.4019803971584828,"score_spread":0.3182411194501309,"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."}}