{"id":"W2972734714","doi":"10.1016/j.ijrobp.2020.08.038","title":"Breast Cancer Molecular Subtype as a Predictor of Radiation Therapy Fractionation Sensitivity","year":2020,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"BC Cancer Agency","keywords":"Breast cancer; Medicine; Internal medicine; Confidence interval; Oncology; Cohort; Proportional hazards model; Radiation therapy; Cancer; Stage (stratigraphy); Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006984633,0.0001570521,0.000307984,0.0004180323,0.0001925228,0.0004389924,0.0002980289,0.0003035768,0.002470815],"category_scores_gemma":[0.00219946,0.0001473667,0.0004087571,0.0004121748,0.000187942,0.0002029343,0.0001721533,0.0003930521,0.0003396494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003123456,"about_ca_system_score_gemma":0.0003584975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002355349,"about_ca_topic_score_gemma":0.002408341,"domain_scores_codex":[0.9997262,0.0001251062,0.000021762,0.00003281539,0.00005353455,0.00004052863],"domain_scores_gemma":[0.9985555,0.0007129316,0.00032214,0.0001318248,0.00009309885,0.0001845053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001291927,0.00007918155,0.9817761,0.00002045245,0.0001218592,0.0001290769,0.00008648406,0.0005837007,0.006952379,0.00009661696,0.000127255,0.008735045],"study_design_scores_gemma":[0.000009020529,0.0002508111,0.9969408,0.000006863471,0.00009704662,0.000448261,0.00008603324,0.000584666,0.001091349,0.00007868104,0.0004029059,0.000003593464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969868,0.001121648,0.0002828193,0.00007395104,0.00001220953,0.000005784421,0.00009812424,0.000009311696,0.001409343],"genre_scores_gemma":[0.9991805,0.0001505084,0.00009765595,0.00002088902,0.00001264407,0.000002826423,0.00007072079,0.000005589202,0.0004585275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002470815,"threshold_uncertainty_score":0.008265734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316491730946158,"score_gpt":0.3072682724092244,"score_spread":0.2941033550997628,"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."}}