{"id":"W6888545732","doi":"10.20381/ruor-26531","title":"Canadian Human Trafficking: Assessing the Government's 2019 National Strategy for Enforcement, Prevention, and Supporting Survivors.","year":2021,"lang":"en","type":"other","venue":"uO Research (University of Ottawa)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hotline; Government (linguistics); Human services; Work (physics); Investment (military); Service provider; Interview; Service (business); State (computer science)","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":[0.012931,0.0009191385,0.000601166,0.007850438,0.01789316,0.00639761,0.00359666,0.002411082,0.005664537],"category_scores_gemma":[0.03339507,0.0006283092,0.0008925557,0.0108502,0.003217915,0.003604917,0.005121036,0.003376511,0.000673146],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2671653,"about_ca_system_score_gemma":0.5751665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9985019,"about_ca_topic_score_gemma":0.9989668,"domain_scores_codex":[0.9895089,0.0008717086,0.0003351234,0.0002849291,0.006968071,0.002031311],"domain_scores_gemma":[0.9604535,0.002261174,0.001514367,0.0003242831,0.02718848,0.008258403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000284037,0.0004412027,0.1965587,0.003800333,0.0002490004,0.0005037276,0.03645243,0.001371196,0.0003358572,0.05235906,0.4958134,0.2118311],"study_design_scores_gemma":[0.00008279944,0.0002275236,0.4343496,0.003093688,0.0003320246,0.0001762642,0.1419262,0.001909684,0.0003817908,0.002804538,0.4144498,0.0002659879],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.3175438,0.04502001,0.001783552,0.3189082,0.002290684,0.003171678,0.04312932,0.0003803064,0.2677725],"genre_scores_gemma":[0.9004046,0.03493433,0.008044171,0.01755595,0.0001408865,0.0009632694,0.01536369,0.00009833297,0.02249471],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7328347,"threshold_uncertainty_score":0.8499844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09976790692232351,"score_gpt":0.3928137041396587,"score_spread":0.2930457972173352,"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."}}