{"id":"W2605310434","doi":"10.1177/0840470416677601","title":"Partnering to develop a talent pipeline for emerging health leaders in operations research","year":2017,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; The Scarborough Hospital","funders":"","keywords":"Onboarding; Business; Staffing; Quality management; Talent management; Quality (philosophy); Specialty; Health administration; Health care; Process management; Engineering management; Sustainability; Operations management; Knowledge management; Medicine; Management; Nursing; Marketing; Engineering; Computer science; Political science; Public health","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":[0.05203575,0.0006493645,0.0003060297,0.002722834,0.006321639,0.01461193,0.001927852,0.003152082,0.01062197],"category_scores_gemma":[0.0358997,0.0005138358,0.0006476667,0.002092578,0.00348428,0.008593156,0.01181971,0.006375575,0.003726882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006926197,"about_ca_system_score_gemma":0.06321945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003066532,"about_ca_topic_score_gemma":0.006385104,"domain_scores_codex":[0.9812391,0.008319506,0.0005032077,0.000875207,0.003783623,0.005279329],"domain_scores_gemma":[0.9348125,0.0107047,0.003014308,0.00184543,0.01148436,0.03813874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002566021,0.001476212,0.01114437,0.0006506488,0.00005785367,0.0009389428,0.02013468,0.003924945,0.005180049,0.1376938,0.1651931,0.6533487],"study_design_scores_gemma":[0.0003687052,0.001893415,0.01201756,0.001016178,0.00005446447,0.0006530276,0.02728925,0.01329825,0.005550504,0.1224451,0.8151648,0.0002488457],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1288653,0.006130391,0.1816783,0.5621831,0.006217822,0.002135789,0.0001876803,0.001689216,0.1109123],"genre_scores_gemma":[0.7075176,0.004682454,0.1804215,0.03249807,0.002664095,0.000960202,0.0004087715,0.0003439665,0.07050329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05203575,"threshold_uncertainty_score":0.2751946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1871751795413827,"score_gpt":0.4305112910688507,"score_spread":0.243336111527468,"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."}}