{"id":"W3131728774","doi":"10.1200/cci.20.00108","title":"OncoTree: A Cancer Classification System for Precision Oncology","year":2021,"lang":"en","type":"article","venue":"JCO Clinical Cancer Informatics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Institute of Neurological Disorders and Stroke; National Cancer Institute","keywords":"Cancer; Medicine; Precision medicine; SNOMED CT; Clinical Oncology; Oncology; Genomics; Internal medicine; Personalized medicine; Medical physics; Bioinformatics; Pathology; Terminology; Genome; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.003504316,0.0008420192,0.0007588714,0.007993461,0.00101226,0.002646557,0.001693262,0.0008717037,0.01268502],"category_scores_gemma":[0.01618589,0.0004188236,0.0009044459,0.007022059,0.0003636031,0.002590871,0.003625938,0.00134346,0.004438885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001868512,"about_ca_system_score_gemma":0.005096534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006701647,"about_ca_topic_score_gemma":0.007493298,"domain_scores_codex":[0.9974017,0.0003695798,0.0005721819,0.0005508682,0.0009460438,0.0001596085],"domain_scores_gemma":[0.9912359,0.002464371,0.00180281,0.001691018,0.002137414,0.0006685059],"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":[0.001236516,0.0002159846,0.05739182,0.001901142,0.000269272,0.0006483449,0.0007152729,0.006450315,0.004932861,0.02200604,0.4413247,0.4629078],"study_design_scores_gemma":[0.0004553709,0.0002928963,0.07439059,0.001125499,0.0004575426,0.002275284,0.0005028441,0.05184351,0.01371958,0.04015155,0.8144855,0.0002998144],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04608842,0.002776836,0.4519263,0.004893483,0.0008391506,0.00346719,0.3482984,0.1097079,0.03200229],"genre_scores_gemma":[0.1081937,0.001318902,0.4504016,0.001465156,0.000290597,0.003446978,0.4237774,0.003937536,0.007168187],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01268502,"threshold_uncertainty_score":0.04243565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08534025705951545,"score_gpt":0.4308628302471838,"score_spread":0.3455225731876683,"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."}}