{"id":"W3043676145","doi":"10.31235/osf.io/9pn27","title":"Policing the Pandemic: Tracking the Policing of Covid-19 across Canada","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conversation; Pandemic; Coronavirus disease 2019 (COVID-19); Enforcement; Public relations; Political science; Tracking (education); Criminology; Power (physics); Law enforcement; Sociology; Law; Medicine; Infectious disease (medical specialty)","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":[0.0009118497,0.0003670144,0.0003466012,0.003188954,0.005602598,0.002735954,0.00128124,0.0006488038,0.002747097],"category_scores_gemma":[0.004682898,0.0002891485,0.0002606132,0.006387655,0.001056923,0.0008587926,0.00221302,0.0009184543,0.0005271987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0394837,"about_ca_system_score_gemma":0.05544422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974679,"about_ca_topic_score_gemma":0.9989084,"domain_scores_codex":[0.9989107,0.0001020212,0.00003900941,0.0001944594,0.0003955725,0.0003582247],"domain_scores_gemma":[0.9963903,0.0002420786,0.0002863334,0.0001545215,0.002181826,0.0007448606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002967979,0.0001112575,0.8223307,0.0003124951,0.00014507,0.0006432121,0.0347361,0.001868611,0.00202755,0.004016669,0.05380549,0.07970602],"study_design_scores_gemma":[0.00001561061,0.00004582477,0.8899773,0.0002024643,0.00003848718,0.0001019576,0.05088702,0.004963605,0.0007720285,0.000420763,0.0524869,0.00008799206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9446275,0.001209415,0.001705016,0.003899908,0.0000571193,0.000282489,0.029818,0.0002113401,0.01818917],"genre_scores_gemma":[0.9739474,0.001408058,0.003121051,0.0004420985,0.00001470861,0.00009052025,0.0114604,0.00007314339,0.009442549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0394837,"threshold_uncertainty_score":0.2864756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1282290904374611,"score_gpt":0.4294333974221576,"score_spread":0.3012043069846965,"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."}}