{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005311171,0.0001878144,0.000569572,0.00008406136,0.0001636391,0.0001371992,0.0004645444,0.0001672896,0.0007123944],"category_scores_gemma":[0.0002700897,0.0001551563,0.00007471844,0.0001468116,0.0001614137,0.000263202,0.0004128416,0.0002048372,0.0004441937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005890832,"about_ca_system_score_gemma":0.00007607858,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008642988,"about_ca_topic_score_gemma":0.001627235,"domain_scores_codex":[0.9984337,0.00004322358,0.0005598326,0.0005214998,0.00003034321,0.0004113843],"domain_scores_gemma":[0.9987075,0.0002121285,0.0004847988,0.0004349319,0.00004835322,0.0001123014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001462438,0.00010993,0.7273691,0.0000734803,0.00004393472,0.000009917747,0.002052251,0.0004285239,0.00006852571,0.06915053,0.005505383,0.1950422],"study_design_scores_gemma":[0.0008741656,0.0008674092,0.8401237,0.00001638066,0.0000145871,0.00000341,0.0004921983,0.00003492254,0.0003111297,0.009199159,0.1476048,0.0004582048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721913,0.003739881,0.0001222384,0.005360937,0.001503031,0.0007675927,0.000321766,0.00004126745,0.01595197],"genre_scores_gemma":[0.9919151,0.0009478184,0.0002170313,0.005777937,0.0001879394,0.0006133822,0.000005663757,0.00002040999,0.0003147296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.194584,"threshold_uncertainty_score":0.9979585,"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."}}