{"id":"W2914936481","doi":"10.1097/acm.0000000000002606","title":"Recruiting and Training a Health Professions Workforce to Meet the Needs of Tomorrow’s Health Care System","year":2019,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Medical Education and Admissions","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill-Queen's University Press","funders":"","keywords":"Workforce; Training (meteorology); Health care; Medical education; Workforce development; Health professions; Workforce planning; Nursing; Medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001682785,0.0001610497,0.0006905466,0.0002313165,0.0001934155,0.000002159116,0.0001630007,0.0001338922,0.0002761142],"category_scores_gemma":[0.002527443,0.00008945745,0.00003535701,0.0006965428,0.0001180209,0.00003064171,0.00006267586,0.0006840855,0.000009270003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001623535,"about_ca_system_score_gemma":0.001911474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001191519,"about_ca_topic_score_gemma":0.000004907887,"domain_scores_codex":[0.9978458,0.0002041505,0.0008033794,0.0002206634,0.0005006031,0.0004254007],"domain_scores_gemma":[0.9970512,0.0004290186,0.0003363795,0.0003501332,0.00009546609,0.00173774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001020297,0.00001673614,0.005453582,0.003140367,0.00004189434,0.000002154477,0.7657737,0.000002989301,0.001315208,0.03438795,0.1249614,0.06480202],"study_design_scores_gemma":[0.001614025,0.0008264463,0.001550919,0.01976709,0.00004461129,0.0001354254,0.9095157,0.0001358004,0.00005606514,0.00004025018,0.06620073,0.000112978],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3863592,0.01175022,0.0003791606,0.5867769,0.001110616,0.002706609,0.000007532657,0.0001174958,0.01079236],"genre_scores_gemma":[0.9497911,0.0002573045,0.0002550434,0.04588359,0.0005355182,0.00004794261,0.00001766651,0.00002246436,0.003189375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5634319,"threshold_uncertainty_score":0.3647969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1140912494125773,"score_gpt":0.4326659658620327,"score_spread":0.3185747164494554,"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."}}