{"id":"W4393041580","doi":"10.1177/21501319241241468","title":"Predictive Models for Canadian Healthcare Workers Mental Health During COVID-19","year":2024,"lang":"en","type":"article","venue":"Journal of Primary Care & Community Health","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Mitacs","keywords":"Mental health; Medicine; Health care; Logistic regression; Psychological intervention; Bayes' theorem; Family medicine; Nursing; Psychiatry; Statistics; Bayesian probability","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003618118,0.0003674178,0.0009190986,0.0009344172,0.002837962,0.0000853053,0.0007138908,0.000209292,0.00006971792],"category_scores_gemma":[0.00006635717,0.0003669058,0.0003822053,0.0005229976,0.0001286332,0.000395665,0.00012909,0.00241266,0.00001058088],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.06827024,"about_ca_system_score_gemma":0.07814437,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7583372,"about_ca_topic_score_gemma":0.7287415,"domain_scores_codex":[0.9943936,0.001973443,0.001407309,0.0003658744,0.0005272413,0.001332489],"domain_scores_gemma":[0.9939525,0.0007211202,0.000630166,0.0007436844,0.0002552519,0.003697341],"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":[0.004826071,0.0009051732,0.02117926,0.04151819,0.0007874346,0.0002616248,0.5118626,0.001219942,0.00001338657,0.005536181,0.2241611,0.187729],"study_design_scores_gemma":[0.009578153,0.01473571,0.08990493,0.005592674,0.0001076347,0.002044183,0.2920507,0.0004637089,0.000006232278,0.00420551,0.5802132,0.001097325],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2933583,0.2582738,0.01476337,0.3853133,0.01766784,0.008838923,0.009851037,0.000578378,0.01135506],"genre_scores_gemma":[0.9476632,0.002476212,0.0009292848,0.04750315,0.0005295344,0.00005935567,0.0004902026,0.00009485788,0.0002542329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6543049,"threshold_uncertainty_score":0.9998888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1005539975858848,"score_gpt":0.4344899449685307,"score_spread":0.3339359473826459,"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."}}