{"id":"W6987759054","doi":"","title":"Under the Influence? Factors That Impact Canadian’s Confidence in Police","year":2021,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Policing Practices and Perceptions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Perception; Affect (linguistics); Immigration; Intersectionality; Low Confidence; Confidence interval","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":[0.001959466,0.0003154008,0.0004787634,0.001851916,0.01406468,0.005224168,0.002002148,0.0008788686,0.01060573],"category_scores_gemma":[0.01356062,0.000325523,0.0007550792,0.003541125,0.002903823,0.001965872,0.003704552,0.002534525,0.0005972454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03864482,"about_ca_system_score_gemma":0.08618245,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932839,"about_ca_topic_score_gemma":0.9945358,"domain_scores_codex":[0.996723,0.000302422,0.000133506,0.0002697874,0.001188572,0.001382753],"domain_scores_gemma":[0.9905908,0.000763086,0.001340648,0.0003405556,0.003847501,0.003117397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001487039,0.0001416989,0.877243,0.0001118039,0.00009345791,0.0005155817,0.05069448,0.000265728,0.000266199,0.005010595,0.01924087,0.04626793],"study_design_scores_gemma":[0.00001312038,0.00005730761,0.8392379,0.0003179174,0.00005246789,0.0001911086,0.1325039,0.0005283754,0.0001365434,0.0006904306,0.02617118,0.00009979166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9424779,0.001041815,0.0002600947,0.01170453,0.0001534588,0.00007110329,0.001353193,0.00002535421,0.0429124],"genre_scores_gemma":[0.9948527,0.0006712543,0.0001653881,0.0006271695,0.00002155202,0.00001376248,0.000395855,0.00001090233,0.003241414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03864482,"threshold_uncertainty_score":0.2803891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.185656444831455,"score_gpt":0.4040605788817763,"score_spread":0.2184041340503213,"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."}}