{"id":"W4398660764","doi":"10.7910/dvn/kpq747/tvvzpr","title":"childlabour_6Feb2019DTAversion.tab","year":2019,"lang":"en","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001133648,0.002240737,0.001490372,0.005522111,0.001028031,0.003169157,0.003010436,0.002434676,0.197797],"category_scores_gemma":[0.007727757,0.0008337318,0.001488918,0.00906574,0.0005523049,0.001478751,0.002693731,0.001637961,0.1713975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001793045,"about_ca_system_score_gemma":0.002755844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03344576,"about_ca_topic_score_gemma":0.06049547,"domain_scores_codex":[0.9991158,0.0001427843,0.0001081777,0.0002454675,0.0001846498,0.0002032694],"domain_scores_gemma":[0.9970547,0.0009396813,0.0003349692,0.0006194257,0.0006583001,0.0003928628],"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":[0.00003153642,0.000009802286,0.0005477524,0.0005516084,0.00001977436,0.00001064393,0.00001802337,0.00008209623,0.00004016998,0.0002838229,0.9971385,0.001266172],"study_design_scores_gemma":[0.0002134084,0.00001336375,0.003489708,0.0004356236,0.00003437476,0.00004189523,0.00008126359,0.0001659569,0.0001901041,0.00080839,0.994501,0.00002492612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004655015,0.00004698079,0.00002079651,0.00005109892,0.00001480001,0.000004323319,0.9992269,0.0001538179,0.000434618],"genre_scores_gemma":[0.0003974264,0.00009504074,0.0001364111,0.00007369887,0.00001163305,0.00007450477,0.9979745,0.00009843948,0.001138363],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8022031,"threshold_uncertainty_score":0.6616968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01994163646032683,"score_gpt":0.2712236636891158,"score_spread":0.251282027228789,"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."}}