{"id":"W3197984521","doi":"10.1080/13528165.2020.1930783","title":"Stop. Rewind. Replay.: Performance, police training and mental health crisis response","year":2020,"lang":"en","type":"article","venue":"Performance Research","topic":"Policing Practices and Perceptions","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mental health; Set (abstract data type); Embodied cognition; Psychology; Action (physics); Training (meteorology); Applied psychology; Public relations; Political science; Computer science; Psychotherapist; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.00720707,0.0001165773,0.0002017052,0.0002131804,0.003348814,0.0002002239,0.0003249465,0.0000879227,0.0003417865],"category_scores_gemma":[0.0002698075,0.0001148974,0.00003701975,0.0009518371,0.000413317,0.0008842969,0.0001514984,0.0007017162,0.0002077047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002195999,"about_ca_system_score_gemma":0.0008616597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02296429,"about_ca_topic_score_gemma":0.001668873,"domain_scores_codex":[0.996483,0.0009825671,0.0002573669,0.0003554334,0.0009303186,0.0009913614],"domain_scores_gemma":[0.9985959,0.0003584822,0.00007635065,0.0002151124,0.0001217117,0.0006324606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007169647,0.00004027463,0.01252262,0.0001000567,0.00001626781,7.634455e-7,0.8941962,0.0000159259,0.0004105127,0.0002076806,0.04033371,0.05143898],"study_design_scores_gemma":[0.0004645824,0.0009180544,0.0580551,0.00007256319,0.000003762753,0.000009596569,0.147904,0.003024587,0.00006582433,0.000007010404,0.7892533,0.000221641],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.893723,0.0001084088,0.000002630982,0.09304783,0.00007930527,0.0002955509,0.00001559573,0.00007666771,0.01265107],"genre_scores_gemma":[0.9874281,0.008188224,0.0002072101,0.002128736,0.0005361386,0.00002506865,0.000005733918,0.00001836334,0.001462413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7489195,"threshold_uncertainty_score":0.9979487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3002989693635569,"score_gpt":0.5062060505687905,"score_spread":0.2059070812052336,"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."}}