{"id":"W2965982329","doi":"10.1634/theoncologist.2019-0261","title":"Improving Cancer Diagnosis and Care: Patient Access to High-Quality Oncologic Pathology","year":2019,"lang":"en","type":"article","venue":"The Oncologist","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Centers for Disease Control and Prevention; National Comprehensive Cancer Network; American Association for Cancer Research; Bristol-Myers Squibb; American Society of Clinical Oncology; American College of Radiology; U.S. Food and Drug Administration; Memorial Sloan-Kettering Cancer Center; Flatiron Health; Oncology Nursing Society; Merck; Helsinn Therapeutics; Pfizer; Cancer Research Society; American Cancer Society; Livestrong Foundation","keywords":"Medicine; Cancer; Patient care; Medical physics; Pathology; Intensive care medicine; Nursing; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02366947,0.000306534,0.0004993594,0.001263122,0.002825793,0.01045521,0.001552223,0.006924059,0.02825312],"category_scores_gemma":[0.08650926,0.0004211317,0.000585456,0.001742855,0.003911863,0.008563702,0.008283944,0.008925372,0.001269116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01066215,"about_ca_system_score_gemma":0.02329585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0119833,"about_ca_topic_score_gemma":0.02036334,"domain_scores_codex":[0.9850199,0.01034841,0.0004735753,0.0005226606,0.002061768,0.001573664],"domain_scores_gemma":[0.905158,0.06368786,0.007751121,0.001472925,0.006312991,0.01561715],"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":[0.0001570812,0.0001890829,0.02077763,0.001936418,0.00009046094,0.0006064055,0.001932252,0.003022055,0.0003406948,0.1892666,0.5286413,0.25304],"study_design_scores_gemma":[0.0001266515,0.000272461,0.0323536,0.005614814,0.00008557136,0.001553699,0.01398027,0.004190161,0.0005620359,0.2579626,0.6831239,0.0001742896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002124622,0.009282994,0.001965719,0.9758007,0.001310442,0.00001994634,0.00006367677,0.0000215643,0.009410422],"genre_scores_gemma":[0.5523014,0.1026801,0.01320764,0.2944311,0.0250085,0.000296671,0.0004490019,0.0001451644,0.01148039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02825312,"threshold_uncertainty_score":0.1251776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06185223611591327,"score_gpt":0.3147226983642842,"score_spread":0.252870462248371,"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."}}