{"id":"W3166235396","doi":"10.1200/go.21.00093","title":"Tracking the Workforce 2020-2030: Making the Case for a Cancer Workforce Registry","year":2021,"lang":"en","type":"article","venue":"JCO Global Oncology","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Workforce; Workforce planning; Multidisciplinary approach; Business; Cancer incidence; Tracking (education); Cancer; Public relations; Medicine; Political science; Economic growth; Psychology; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1416864,0.0006472878,0.001336154,0.005642759,0.003155029,0.009032209,0.00528013,0.007514292,0.004998541],"category_scores_gemma":[0.2367561,0.0009298031,0.001928802,0.00606083,0.002689489,0.02835896,0.009624444,0.01255781,0.002085377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006402016,"about_ca_system_score_gemma":0.05648882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02320612,"about_ca_topic_score_gemma":0.0375728,"domain_scores_codex":[0.9471537,0.03246361,0.007543006,0.002522295,0.007555724,0.002761631],"domain_scores_gemma":[0.7170011,0.1394345,0.0279634,0.01918688,0.07614262,0.02027157],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001868906,0.0003353812,0.0940995,0.005254098,0.0002041959,0.0005011163,0.003939567,0.003056316,0.000469734,0.05980746,0.3563107,0.4758351],"study_design_scores_gemma":[0.0001044015,0.0003244934,0.03928135,0.02166855,0.0003023887,0.0008781599,0.01439504,0.005802545,0.0006694735,0.04092335,0.8753861,0.0002641086],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008486364,0.02559295,0.01757069,0.9283696,0.006573389,0.0004985314,0.00190979,0.0002560276,0.01074265],"genre_scores_gemma":[0.2927736,0.1558627,0.293741,0.218549,0.01257172,0.005986801,0.01360327,0.0004917014,0.006420316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8583137,"threshold_uncertainty_score":0.749318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04821744961038366,"score_gpt":0.455852755553752,"score_spread":0.4076353059433683,"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."}}