{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007657774,0.00007466002,0.0001798754,0.0002170716,0.000531306,0.00005095832,0.0002267221,0.00009352612,0.000005145675],"category_scores_gemma":[0.0002500335,0.0000827402,0.00001011072,0.0005044357,0.00008563006,0.00007974479,0.00005584373,0.0002607807,6.194094e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00149322,"about_ca_system_score_gemma":0.0004510013,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8270415,"about_ca_topic_score_gemma":0.993171,"domain_scores_codex":[0.9988273,0.00009658573,0.0004326231,0.0002686847,0.0001534508,0.0002213637],"domain_scores_gemma":[0.999524,0.00003539363,0.000191129,0.0002038335,0.00001569227,0.00002997548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009102178,0.00003369272,0.9577442,0.00001959515,0.0000226657,0.00005639148,0.008989772,0.001219258,0.000002971065,0.004486794,0.01655774,0.01085783],"study_design_scores_gemma":[0.001722573,0.00006957281,0.3848881,0.001274529,0.00006197155,0.000002024067,0.2664384,0.2948929,0.00001308986,0.01926531,0.03051773,0.0008538439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974745,0.00033097,0.000169345,0.0003418342,0.001023706,0.0001718158,0.000002283203,0.00002518414,0.02318983],"genre_scores_gemma":[0.9973804,0.00008270947,0.0003400704,0.00006458294,0.00003155256,0.000003368112,0.00005196198,0.000006171295,0.002039146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5728561,"threshold_uncertainty_score":0.408643,"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."}}