{"id":"W4408338847","doi":"10.3389/fhumd.2024.1426605","title":"Data collection and reporting on human trafficking in Canada","year":2025,"lang":"en","type":"article","venue":"Frontiers in Human Dynamics","topic":"Sex work and related issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Ontario Tech University","funders":"","keywords":"Data collection; Human trafficking; Business; Data science; Computer science; Criminology; Psychology; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01378438,0.0004159184,0.0005702149,0.007980596,0.01786061,0.007512796,0.002708998,0.0009347216,0.004686059],"category_scores_gemma":[0.05406527,0.0004364184,0.0004639478,0.02320414,0.004939785,0.001520185,0.004692645,0.001834627,0.0005332385],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1511247,"about_ca_system_score_gemma":0.4391605,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974545,"about_ca_topic_score_gemma":0.9976236,"domain_scores_codex":[0.9749212,0.00365418,0.001802527,0.001549139,0.01454031,0.003532567],"domain_scores_gemma":[0.9086462,0.01756628,0.005298903,0.003209948,0.06117921,0.004099414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003064603,0.0002036717,0.2333019,0.002618347,0.0001301171,0.002895285,0.194191,0.003934625,0.002387483,0.08875639,0.1409931,0.3302816],"study_design_scores_gemma":[0.00001984446,0.00006795603,0.2939411,0.00199366,0.00006460904,0.0003332302,0.1603991,0.002834419,0.00251265,0.004285558,0.533235,0.0003128668],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5876498,0.007999307,0.01749738,0.05568325,0.0007765714,0.00361659,0.08355971,0.0008224886,0.242395],"genre_scores_gemma":[0.9025696,0.009905651,0.02140764,0.004458162,0.0001034681,0.0009173618,0.01542151,0.0002257004,0.04499098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1511247,"threshold_uncertainty_score":0.984575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03757502870994543,"score_gpt":0.3383962811738358,"score_spread":0.3008212524638904,"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."}}