{"id":"W4415975461","doi":"10.37964/cr24795","title":"Canadian pathologists in crisis: a review of national well-being and workload data","year":2025,"lang":"","type":"review","venue":"Canadian Journal of Physician Leadership","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Workload; Data collection; MEDLINE; Workforce","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009495202,0.001441,0.004799634,0.01421565,0.001608128,0.003628899,0.003450415,0.001392035,0.003275757],"category_scores_gemma":[0.02595704,0.0009554374,0.002641496,0.03113681,0.001634811,0.001663563,0.002088011,0.002587672,0.0004282944],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03455851,"about_ca_system_score_gemma":0.1147541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7945439,"about_ca_topic_score_gemma":0.9087781,"domain_scores_codex":[0.9951014,0.0004204775,0.0008366206,0.0004445051,0.002780217,0.0004168074],"domain_scores_gemma":[0.9708003,0.008567143,0.003520939,0.0003648851,0.01502285,0.001723945],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003526089,0.0000908322,0.01589642,0.1906728,0.002956084,0.00012291,0.0007237829,0.000371278,0.0001008882,0.002273716,0.1423344,0.6441043],"study_design_scores_gemma":[0.0001800129,0.0001613045,0.1667905,0.2964868,0.007675864,0.0004013788,0.001818058,0.0002615991,0.0001932605,0.0009206132,0.5248467,0.0002639171],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000376113,0.9966518,0.00002658094,0.001405415,0.0001790491,0.00002290277,0.0008696271,0.000004854126,0.0004635605],"genre_scores_gemma":[0.004261846,0.9940918,0.0001757281,0.0007039082,0.00009853467,0.00002909134,0.0005669679,0.000003284542,0.00006881158],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9905048,"threshold_uncertainty_score":0.4133322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1643466292260661,"score_gpt":0.3559897080374219,"score_spread":0.1916430788113558,"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."}}