{"id":"W4398528428","doi":"10.7910/dvn/kpq747/07aigm","title":"childlabour_6Feb2019CSVversion.tab","year":2019,"lang":"it","type":"dataset","venue":"Harvard Dataverse","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer 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":[0.001201044,0.002335594,0.001562213,0.005023876,0.001138264,0.00355714,0.003280581,0.002735324,0.2068741],"category_scores_gemma":[0.007583447,0.0008521379,0.001428354,0.008286154,0.000640364,0.001680206,0.002933672,0.001765077,0.1983728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001953269,"about_ca_system_score_gemma":0.002774843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03134676,"about_ca_topic_score_gemma":0.05309027,"domain_scores_codex":[0.99905,0.0001469672,0.0001063577,0.0002585872,0.0001969345,0.0002411717],"domain_scores_gemma":[0.9968874,0.0009012337,0.0003535735,0.0006830716,0.0006869416,0.0004878258],"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":[0.00003209651,0.000009433,0.0005059799,0.0003905847,0.00001442472,0.000009727314,0.00001611662,0.000071353,0.00003764506,0.0002694609,0.9975259,0.001117189],"study_design_scores_gemma":[0.0002551505,0.00001855412,0.003982423,0.0004178424,0.00003042357,0.00005126559,0.00009958482,0.0002265649,0.0002402494,0.0009012209,0.993747,0.00002965562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005290333,0.0000372194,0.00002052389,0.00005903104,0.00001769461,0.000004975182,0.9991933,0.0001843346,0.0004301045],"genre_scores_gemma":[0.0004077473,0.00006974876,0.0001196168,0.00007325086,0.00001351166,0.00006947963,0.9980633,0.00009616567,0.001087236],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2068741,"threshold_uncertainty_score":0.6920627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02005508639331505,"score_gpt":0.2611963059983349,"score_spread":0.2411412196050198,"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."}}