{"id":"W4223507658","doi":"10.1016/j.ijrobp.2022.01.051","title":"Why Leadership? The Intersectionality of Leadership and Health Equity","year":2022,"lang":"en","type":"letter","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Interconnectivity; Intersectionality; Medicine; Health care; Equity (law); Public relations; Knowledge management; Sociology; Computer science; Political science; Artificial intelligence; Economic growth; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0137376,0.0004686295,0.0009819551,0.0005850936,0.00665308,0.006377412,0.001961143,0.03482416,0.00603362],"category_scores_gemma":[0.04016067,0.0005171433,0.001018369,0.0006550489,0.01891208,0.01429291,0.005869561,0.05429589,0.00220313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00884547,"about_ca_system_score_gemma":0.01447729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01015735,"about_ca_topic_score_gemma":0.01488074,"domain_scores_codex":[0.9872162,0.006339131,0.0005074251,0.0009354719,0.00323067,0.001771012],"domain_scores_gemma":[0.9666619,0.02183845,0.001574027,0.0009654732,0.004212094,0.004748124],"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":[0.00005859716,0.00007080992,0.00175936,0.0001489498,0.00002911567,0.00169538,0.002982089,0.0001647208,0.0002433568,0.1187579,0.8333406,0.04074908],"study_design_scores_gemma":[0.0001214964,0.0001042044,0.001685026,0.0007527348,0.00002133099,0.002852995,0.009914826,0.0009134937,0.0002584475,0.2359516,0.7473228,0.000101078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001965982,0.0005344145,0.00008502668,0.9971048,0.001264469,0.000001737739,0.00000171747,0.00000294202,0.0008081545],"genre_scores_gemma":[0.01658067,0.001486931,0.0002807573,0.971001,0.008783781,0.00002220455,0.000005317913,0.000009888079,0.001829436],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03482416,"threshold_uncertainty_score":0.07265228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1938260154594711,"score_gpt":0.4854262078674885,"score_spread":0.2916001924080174,"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."}}