{"id":"W4389220348","doi":"10.1182/blood-2023-191019","title":"Assessment of Gaps in Hematology Education in Canadian Internal Medicine Residency Programs","year":2023,"lang":"en","type":"article","venue":"Blood","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University Health Network; Sunnybrook Health Science Centre; University of Toronto","funders":"","keywords":"Medicine; Family medicine; Curriculum; Likert scale; Competence (human resources); Internal medicine; Respondent; Hematology; Specialty; Medical education; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007315282,0.0003154522,0.0003749584,0.003347999,0.003194276,0.001466307,0.001656212,0.0005530274,0.002341696],"category_scores_gemma":[0.02487985,0.0002979985,0.0004536136,0.004736522,0.0009105162,0.0006851491,0.002512284,0.0006324952,0.0001500137],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03255355,"about_ca_system_score_gemma":0.06649408,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9045058,"about_ca_topic_score_gemma":0.9481941,"domain_scores_codex":[0.9932449,0.0007368309,0.0004122212,0.0002979813,0.003762246,0.001545795],"domain_scores_gemma":[0.9805248,0.00252309,0.003421037,0.0002490839,0.00941533,0.003866648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001420666,0.0001382644,0.9508984,0.0002961823,0.0000598087,0.000125566,0.009378354,0.0003777003,0.0002449436,0.0003475885,0.003156584,0.03483447],"study_design_scores_gemma":[0.000006507904,0.00007245638,0.988482,0.0001200385,0.00001831369,0.00004623414,0.008212949,0.0005420519,0.0001113836,0.00004956194,0.002324792,0.00001368142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990337,0.0005637917,0.0002378875,0.001225952,0.00002090309,0.0001806754,0.001235558,0.00002224817,0.006175885],"genre_scores_gemma":[0.9977678,0.0003430544,0.0008146805,0.0001167956,0.000008395185,0.00008418343,0.0004841759,0.000002715265,0.0003780782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9674464,"threshold_uncertainty_score":0.2361936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04727374135241389,"score_gpt":0.3965827328142806,"score_spread":0.3493089914618667,"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."}}