{"id":"W6976352998","doi":"10.6068/dp16f15a5d29f35","title":"TREND: Statistics Canada. StatCan - Current Tables: Crime and Justice | Province: British Columbia, Ontario, Quebec | Table ID: 35100050 | Table Name: Victims of police-reported violent crime and traffic offences causing bodily harm or death, by type of offence and sex of victim, Canada, provinces and territories | Variable 1: Trafficking in persons and prostitution | Variable 2: Total, sex of victim | Variable 3: Number of victims (Number) | Variable 4: N/A | Variable 5: N/A | Variable 6: N/A, 2009 - 2017. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 075-002-006","year":2019,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Crime statistics; Criminal justice; Law enforcement; Summary statistics; Official statistics; Economic Justice; Harm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002298519,0.002485026,0.00335372,0.01108296,0.004240554,0.006439823,0.005463025,0.001758915,0.2338563],"category_scores_gemma":[0.02922966,0.002003694,0.002350278,0.04655993,0.001003495,0.003744777,0.00235494,0.003702175,0.1278968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04205672,"about_ca_system_score_gemma":0.1572754,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.98998,"about_ca_topic_score_gemma":0.9889739,"domain_scores_codex":[0.9947417,0.0003825006,0.0007204365,0.0009466379,0.002127502,0.001081327],"domain_scores_gemma":[0.9372815,0.003095307,0.002054356,0.002685451,0.05241615,0.002467208],"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":[0.00001322283,0.000004032686,0.0006365842,0.0001667538,0.00001322099,0.000003629779,0.0000164293,0.00005760407,0.000005452115,0.0002298395,0.9975805,0.001272683],"study_design_scores_gemma":[0.0001472038,0.000009825677,0.0154026,0.0009613589,0.00006530464,0.00001964906,0.0004129554,0.0003697809,0.00009399062,0.0009723587,0.981454,0.00009083319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003988238,0.00003573915,0.00004538143,0.0001950669,0.00005129788,0.00002588865,0.9977431,0.0001523092,0.001711262],"genre_scores_gemma":[0.0009229135,0.0003357139,0.0005666191,0.0003009946,0.00004032147,0.0002661326,0.9887694,0.0004735822,0.008324362],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2338563,"threshold_uncertainty_score":0.7823274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827376413440302,"score_gpt":0.2589169071086186,"score_spread":0.2406431429742156,"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."}}