{"id":"W4394148541","doi":"10.6084/m9.figshare.22897670","title":"<em>Supplementary Table 1: Practices of identification of sex trafficking and supporting quotations</em>","year":2023,"lang":"en","type":"supplementary-materials","venue":"Figshare","topic":"Sex work and related issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Toronto","funders":"","keywords":"Table (database); Identification (biology); Computer science; Data science; Biology; Database","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":[0.001677274,0.0009933411,0.0006829707,0.004793376,0.001776239,0.002801048,0.0008916975,0.001036316,0.8898911],"category_scores_gemma":[0.03888052,0.0003994264,0.0004859947,0.008599805,0.0008198274,0.003533167,0.002070797,0.001235248,0.4266363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001454005,"about_ca_system_score_gemma":0.002559462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008209119,"about_ca_topic_score_gemma":0.02389004,"domain_scores_codex":[0.9989169,0.0002772481,0.0001178791,0.0001188709,0.0004273467,0.0001418039],"domain_scores_gemma":[0.9504939,0.03601202,0.0007309684,0.001530465,0.01038701,0.0008456435],"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":[0.0000377017,0.00002056124,0.0002274205,0.0005479584,0.000002133278,0.00001943866,0.0004143444,0.00002753947,0.00005515945,0.001242883,0.9905871,0.006817853],"study_design_scores_gemma":[0.00007071612,0.00001862138,0.003528073,0.0009026023,0.000005785506,0.00008286449,0.00241565,0.0001110073,0.0002372189,0.004527947,0.98807,0.00002964314],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001239463,0.0001266507,0.001270138,0.001206915,0.001160101,0.0002915615,0.887668,0.002219686,0.1048175],"genre_scores_gemma":[0.01566084,0.0008435881,0.01605541,0.002090611,0.0007600302,0.003111924,0.7101974,0.008996977,0.2422831],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8898911,"threshold_uncertainty_score":0.1570568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05911455782825752,"score_gpt":0.3806787095798649,"score_spread":0.3215641517516074,"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."}}