{"id":"W2064769222","doi":"10.1002/pbc.24362","title":"Establishing physician to patient ratios and predicting workforce needs for Canadian pediatric hematology‐oncology programs","year":2012,"lang":"en","type":"article","venue":"Pediatric Blood & Cancer","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Children's Hospital of Eastern Ontario; University of Calgary; Janeway Children's Health and Rehabilitation Centre; University of British Columbia; University of Ottawa","funders":"Pediatric Oncology Group of Ontario","keywords":"Medicine; Hematologist; Staffing; Workload; Workforce; Hematology; Internal medicine; Family medicine; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002988004,0.0002585199,0.0005146875,0.0004174629,0.0003411433,0.00002394317,0.0001172689,0.0003019356,0.000029447],"category_scores_gemma":[0.0002109102,0.0002328409,0.00008637615,0.0008350656,0.0000631087,0.0002827801,0.0000383648,0.0003434916,0.000005358345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002914936,"about_ca_system_score_gemma":0.000778645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001825825,"about_ca_topic_score_gemma":0.003943945,"domain_scores_codex":[0.9980503,0.0000541573,0.0003950369,0.0003354077,0.000170686,0.0009944633],"domain_scores_gemma":[0.9982708,0.0003762901,0.0002061933,0.0002167002,0.0001419916,0.0007880078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001387444,0.0002729633,0.8984936,0.0002055479,0.00007972275,0.00001130181,0.003496432,0.00003482428,0.00001569723,0.0002968664,0.003735255,0.093219],"study_design_scores_gemma":[0.0160384,0.01022978,0.09885196,0.0002553899,0.008382706,0.0008571349,0.006011051,0.0005916701,0.0006990917,0.0004264741,0.8552191,0.00243728],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9555381,0.03549662,0.0007764542,0.002129663,0.002434211,0.0021423,0.00003374476,0.0001137329,0.00133521],"genre_scores_gemma":[0.9672059,0.00300021,0.009685652,0.005709553,0.01279197,0.001281291,0.00003095578,0.00006878588,0.000225662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8514838,"threshold_uncertainty_score":0.9494978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826609266874772,"score_gpt":0.3329127669822802,"score_spread":0.3146466743135324,"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."}}