{"id":"W4404153270","doi":"10.59962/9780774871075","title":"Ancillary Police Powers in Canada","year":2024,"lang":"en","type":"book","venue":"University of British Columbia Press eBooks","topic":"European Criminal Justice and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Computer security; Criminology; Sociology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002106387,0.00008319823,0.0002452435,0.00005043858,0.0001846769,0.0001186514,0.0004563801,0.000170854,0.0001436336],"category_scores_gemma":[0.00001968008,0.0002202566,0.00007065792,0.00002865448,0.0002714229,0.00009638343,0.0002032578,0.0003980445,0.00000941689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001416134,"about_ca_system_score_gemma":0.005522653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999573,"about_ca_topic_score_gemma":0.9999921,"domain_scores_codex":[0.9986734,0.0001219649,0.0001528783,0.000332107,0.0004488209,0.0002707693],"domain_scores_gemma":[0.9994155,0.00004993123,0.0001178975,0.0001838506,0.0001099034,0.0001229057],"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":[0.0000157093,0.000009903414,0.00003415268,0.000495174,0.00004771521,0.001672158,0.004331894,0.000002520257,0.000001360524,0.0004563204,0.9611975,0.03173559],"study_design_scores_gemma":[0.0001396065,0.00001865484,0.0002147485,0.0008148969,0.0001127738,0.000008708851,0.006888475,0.000004034024,1.871838e-7,0.0001542306,0.9914255,0.0002182143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003016939,0.000479014,0.000004353146,0.00001507253,0.0003891503,0.0003200122,0.001027426,0.00004605825,0.994702],"genre_scores_gemma":[0.005767726,0.0007409531,0.0000365892,0.00006089324,0.0001289549,2.673521e-7,0.00004010379,0.00002131908,0.9932032],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03151737,"threshold_uncertainty_score":0.979695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01831224349133232,"score_gpt":0.2040671343353729,"score_spread":0.1857548908440406,"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."}}