{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004577705,0.0002109242,0.0004620921,0.00001179949,0.000593827,0.00002878569,0.0002555705,0.0003733687,0.0002558888],"category_scores_gemma":[0.0004516249,0.0001209353,0.0002265528,0.0004259869,0.0005291936,0.00006645245,0.00007498729,0.0005043934,0.00001183493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009510668,"about_ca_system_score_gemma":0.0009183106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003318639,"about_ca_topic_score_gemma":0.001119228,"domain_scores_codex":[0.9983645,0.0001996774,0.0003630588,0.0004056176,0.0001336917,0.0005334237],"domain_scores_gemma":[0.9978294,0.001102195,0.0002399524,0.0005489353,0.0001938815,0.00008558769],"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":[0.001587529,0.0002664458,0.007236744,0.00007064561,0.0003978949,0.01420369,0.0008606948,0.001041525,0.0001818307,0.023774,0.08134732,0.8690317],"study_design_scores_gemma":[0.001821375,0.0003270708,0.001106988,0.0001120973,0.0002483791,0.03133111,0.001775698,0.0006485627,0.00005429954,0.002409147,0.9600187,0.0001465567],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2580907,0.1332973,0.0589438,0.3385253,0.01818007,0.004840044,0.0002955222,0.0004495656,0.1873777],"genre_scores_gemma":[0.8959395,0.003953353,0.01336159,0.06524766,0.007116997,0.0007118736,0.00002865869,0.00006294159,0.01357738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8786714,"threshold_uncertainty_score":0.4931597,"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."}}