{"id":"W4396715351","doi":"10.29173/mlj1304","title":"Algorithmic Policing Technologies in Canada","year":2022,"lang":"en","type":"article","venue":"Manitoba Law Journal","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Legislation; Charter; Statute; Enforcement; Parliament; Law enforcement; Political science; Emerging technologies; Law; Business; Computer science; Politics; Artificial intelligence","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":[0.003454884,0.0008348225,0.0004888132,0.00400637,0.0106011,0.009112491,0.002860239,0.002120597,0.01821366],"category_scores_gemma":[0.01149398,0.0006093201,0.0007121796,0.006039943,0.005207011,0.002611571,0.003071695,0.001794109,0.002364982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1307935,"about_ca_system_score_gemma":0.2497487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9916946,"about_ca_topic_score_gemma":0.9904972,"domain_scores_codex":[0.9945088,0.0004247967,0.000223089,0.0005960278,0.003170427,0.001076865],"domain_scores_gemma":[0.9916869,0.0008092001,0.0002441673,0.000495139,0.005809997,0.0009547113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001223867,0.0001419744,0.01208207,0.000337677,0.00003691968,0.0006110495,0.004323266,0.01509036,0.001099201,0.4363807,0.1851992,0.3445752],"study_design_scores_gemma":[0.00003926391,0.00007219052,0.01102481,0.0003056895,0.00003057442,0.0001962447,0.003096844,0.02031974,0.0011523,0.02757432,0.9360074,0.0001805356],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1067933,0.01052993,0.05592217,0.07161293,0.002271343,0.0008948836,0.0056224,0.00325503,0.7430981],"genre_scores_gemma":[0.6133617,0.01472623,0.1071624,0.006549449,0.0003345264,0.0003679394,0.006306045,0.0005788549,0.2506129],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1307935,"threshold_uncertainty_score":0.9489776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02844843719421342,"score_gpt":0.2885645877044286,"score_spread":0.2601161505102151,"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."}}