{"id":"W3112230220","doi":"10.22329/wyaj.v37i0.6565","title":"Litigating in the Time of Coronavirus: Mental Health Tribunals’ Response to COVID-19","year":2020,"lang":"en","type":"article","venue":"Windsor Yearbook of Access to Justice","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; York University; Thompson Rivers University","funders":"","keywords":"Mental health; Harm; Pandemic; Economic Justice; Criminology; Addiction; Psychiatry; Population; Coronavirus disease 2019 (COVID-19); Political science; Psychology; Medicine; Law; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005101783,0.0001450824,0.0004851785,0.0001150502,0.000223326,0.00001574678,0.0008008894,0.0001081756,0.001895603],"category_scores_gemma":[0.0236189,0.0001129806,0.00005565745,0.0006705253,0.00008450831,0.0002071361,0.000341891,0.000566904,0.0004151636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001547538,"about_ca_system_score_gemma":0.001202361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001347567,"about_ca_topic_score_gemma":0.00008303287,"domain_scores_codex":[0.9950878,0.002500431,0.001003027,0.0003213181,0.0006368958,0.0004505124],"domain_scores_gemma":[0.9922824,0.006124288,0.0004155102,0.000374878,0.000109609,0.0006933078],"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":[0.02068342,0.0008659256,0.03676292,0.01027367,0.00008533247,0.00004087633,0.6460866,0.0004717553,0.01239981,0.001476931,0.2669742,0.003878603],"study_design_scores_gemma":[0.00327985,0.00236929,0.06870694,0.001887665,0.0001357633,0.000002310834,0.1030979,0.0004104142,0.0005985404,0.0001809824,0.8189203,0.0004101557],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6241319,0.0001133194,0.0001574286,0.3718391,0.0001307717,0.001924448,0.0001334232,0.00003358625,0.001536087],"genre_scores_gemma":[0.8055643,0.00001697514,0.0008738096,0.192846,0.0003198961,0.00009539124,0.00001283725,0.00002144704,0.00024941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.551946,"threshold_uncertainty_score":0.9990168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2123839160887473,"score_gpt":0.5180733425135365,"score_spread":0.3056894264247892,"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."}}