{"id":"W4366250575","doi":"10.1080/23288604.2023.2200566","title":"Adapting Hospital Work During COVID-19 in Quebec (Canada)","year":2023,"lang":"en","type":"article","venue":"Health Systems & Reform","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Montréal","funders":"Canadian Institutes of Health Research; Agence Nationale de la Recherche","keywords":"Pandemic; Work (physics); Adaptation (eye); Coronavirus disease 2019 (COVID-19); Health care; Nursing; Affect (linguistics); Medicine; Psychology; Political science; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00761278,0.0003243191,0.0008929481,0.0003901742,0.002323873,0.00003926299,0.0003129376,0.0003765962,0.00009430318],"category_scores_gemma":[0.001029727,0.0002736361,0.00006436171,0.00168512,0.00002824533,0.0003769858,0.0001668927,0.001436779,0.0004939759],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01490278,"about_ca_system_score_gemma":0.01782242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957574,"about_ca_topic_score_gemma":0.9931991,"domain_scores_codex":[0.9914292,0.002484723,0.00238916,0.0006318087,0.0009144386,0.002150741],"domain_scores_gemma":[0.9952638,0.001240531,0.00130956,0.0006699545,0.0001426936,0.001373465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003148492,0.00009301543,0.7147608,0.05098523,0.00008024515,0.0007769254,0.07656539,0.0004218021,0.000009276439,0.007236773,0.1423621,0.006393592],"study_design_scores_gemma":[0.0008916993,0.00006197621,0.2203405,0.002389295,0.000002315174,0.000007872928,0.08834616,0.0001244961,2.281944e-7,0.00001126781,0.6875182,0.0003060147],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8762575,0.002416317,0.0000240374,0.0947882,0.009640438,0.004830466,0.00007333079,0.0008372662,0.01113246],"genre_scores_gemma":[0.9718371,0.0002487029,0.00002206664,0.002937663,0.001424242,0.0008540939,0.00004905709,0.00008078505,0.0225463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5451561,"threshold_uncertainty_score":0.9999716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1132483239868409,"score_gpt":0.4527062077426796,"score_spread":0.3394578837558387,"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."}}