{"id":"W4239782776","doi":"10.31235/osf.io/fea62","title":"Developing Core National Indicators of Public Attitudes Towards the Police in Canada","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Policing Practices and Perceptions","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Extant taxon; Scale (ratio); Set (abstract data type); Project commissioning; Sample (material); Public opinion; Survey data collection; Core (optical fiber); Confirmatory factor analysis; Political science; Public relations; Geography; Publishing; Business; Computer science; Service (business); Marketing; Statistics; Law","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":[0.005251111,0.0004841621,0.0005319156,0.006109954,0.003304642,0.002726377,0.001126034,0.0002591985,0.002147316],"category_scores_gemma":[0.01659156,0.0003091838,0.0006106377,0.0105791,0.0009557488,0.0009805706,0.002043093,0.0008016763,0.0002759137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05662628,"about_ca_system_score_gemma":0.1215247,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944224,"about_ca_topic_score_gemma":0.9962959,"domain_scores_codex":[0.995756,0.0004132125,0.0002373018,0.0003028209,0.002301805,0.0009888849],"domain_scores_gemma":[0.9786386,0.001063196,0.001282046,0.0004876914,0.01714998,0.001378526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001546583,0.0001674087,0.8436742,0.0003671151,0.0001417958,0.00007793815,0.009610045,0.003757574,0.0007904777,0.008724302,0.01487723,0.1176573],"study_design_scores_gemma":[0.000009700363,0.00003373641,0.9810317,0.00009872502,0.00003166305,0.00001058252,0.005346671,0.003067315,0.0006470574,0.0004975949,0.009189329,0.00003592297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9286214,0.0005856581,0.008605715,0.001110431,0.00004687873,0.0007249863,0.02235746,0.0002210772,0.0377264],"genre_scores_gemma":[0.9709736,0.0005318362,0.01456419,0.000138608,0.000008473145,0.0004297721,0.009048336,0.00004417395,0.004260992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05662628,"threshold_uncertainty_score":0.4108543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2896758853547743,"score_gpt":0.431634671787947,"score_spread":0.1419587864331726,"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."}}