{"id":"W3137581275","doi":"10.21810/jicw.v3i3.2778","title":"Policing During COVID-19: Perspectives from MET Police, UK","year":2021,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Presentation (obstetrics); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Political science; Public relations; Public administration; Sociology; Criminology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.008653463,0.0008382198,0.0009630852,0.002464542,0.02923774,0.01819543,0.00238437,0.01062545,0.01133243],"category_scores_gemma":[0.0255028,0.00158505,0.0005464363,0.002956445,0.01292253,0.01075825,0.01448256,0.01598475,0.001834996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01677394,"about_ca_system_score_gemma":0.01730426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1921346,"about_ca_topic_score_gemma":0.3585346,"domain_scores_codex":[0.9762655,0.01239456,0.0007749679,0.0007927422,0.002720806,0.007051368],"domain_scores_gemma":[0.9734808,0.008888322,0.003288863,0.0004248209,0.004384429,0.009532745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001211234,0.00003099788,0.005409414,0.0004227874,0.00001514095,0.00275745,0.9319426,0.0000454098,0.0002473785,0.002164049,0.04848445,0.008359213],"study_design_scores_gemma":[0.000004181064,0.00003753765,0.00208862,0.0003737364,0.000003023675,0.000213542,0.9566124,0.0000105884,0.00003950506,0.0001461478,0.04044718,0.00002340314],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3766125,0.02089523,0.0005304174,0.5307679,0.006923494,0.0001481101,0.0006901479,0.00005537945,0.06337688],"genre_scores_gemma":[0.8593866,0.01811596,0.0003026697,0.09256288,0.001502736,0.0001780755,0.0001892773,0.0001339028,0.02762788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1921346,"threshold_uncertainty_score":0.3820325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05569491490521412,"score_gpt":0.3748868373444185,"score_spread":0.3191919224392044,"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."}}