{"id":"W6885430104","doi":"10.1371/journal.pmed.1004187.s006","title":"List of OHIP codes.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Healthcare professionals’ stress and burnout","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Pandemic; Cohort; Addiction; Health care; Mental health service; Coronavirus disease 2019 (COVID-19); MEDLINE; Comorbidity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004936716,0.0008193069,0.001022503,0.003750707,0.0012215,0.001072359,0.001597009,0.0007417582,0.3923593],"category_scores_gemma":[0.00558838,0.0003695706,0.0006927229,0.004870023,0.0002674216,0.0009431599,0.001060599,0.001121799,0.1455981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002478164,"about_ca_system_score_gemma":0.006732026,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2574193,"about_ca_topic_score_gemma":0.290728,"domain_scores_codex":[0.9988825,0.0001019456,0.0002434119,0.0001855514,0.0003263738,0.0002602093],"domain_scores_gemma":[0.9975628,0.0002394722,0.0004031838,0.000154315,0.001422399,0.0002178842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007356799,0.00002353073,0.005994879,0.0005536877,0.00001498002,0.0001083246,0.00007320539,0.00006273939,0.00004554786,0.0006198619,0.9766937,0.01573596],"study_design_scores_gemma":[0.0002147378,0.00004967927,0.0668451,0.0019117,0.00003434674,0.0003965711,0.0004216983,0.0003584837,0.00007378057,0.00236513,0.9272729,0.00005576707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001448406,0.001161692,0.000276863,0.001568687,0.0003449653,0.0006272412,0.9099934,0.0003273044,0.08425151],"genre_scores_gemma":[0.02216076,0.003705025,0.00121901,0.002541246,0.000506027,0.001746868,0.880022,0.0003587075,0.08774032],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7425808,"threshold_uncertainty_score":0.8667257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2109062245122543,"score_gpt":0.4866601559485331,"score_spread":0.2757539314362787,"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."}}