{"id":"W4283067410","doi":"10.1002/cncr.34352","title":"A multi‐institutional prediction model to estimate the risk of recurrence and mortality after mastectomy for <scp>T1‐2N1</scp> breast cancer","year":2022,"lang":"en","type":"article","venue":"Cancer","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"National Cancer Institute","keywords":"Medicine; Breast cancer; Interquartile range; Hazard ratio; Mastectomy; Internal medicine; Oncology; Proportional hazards model; Cohort; Lymphovascular invasion; Cancer; Confidence interval; Gynecology; Surgery; Metastasis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001150836,0.000144682,0.000136835,0.00002105203,0.0002620543,0.00000844998,0.000106949,0.00003555085,0.00001352024],"category_scores_gemma":[0.0000327771,0.0001062333,0.00006870199,0.0000830908,0.000128052,0.000006158803,0.0001858296,0.00007299738,2.582489e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000096255,"about_ca_system_score_gemma":0.0001779611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004125629,"about_ca_topic_score_gemma":0.0006226046,"domain_scores_codex":[0.9991671,0.00003230549,0.0001437947,0.0003359643,0.0001370997,0.000183723],"domain_scores_gemma":[0.9995254,0.00001856414,0.00009049952,0.0001994573,0.0001147408,0.00005131731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000519691,0.0001816744,0.7893659,0.000130573,0.0007979868,0.000001345309,0.001077068,0.1800652,0.012349,0.00005442376,0.00383045,0.01162663],"study_design_scores_gemma":[0.001440052,0.00009558454,0.9652081,0.00004344189,0.0003003549,0.00001449934,0.0001411386,0.02168755,0.004249315,0.00009138068,0.006619262,0.0001093857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770492,0.004208914,0.005767432,0.00026214,0.000282899,0.0005206963,0.01186894,0.00001014312,0.00002967711],"genre_scores_gemma":[0.9937661,0.0004699829,0.0008764376,0.0001784618,0.000141508,0.00436331,0.00005414469,0.00001365886,0.0001364241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1758421,"threshold_uncertainty_score":0.4332068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809033396839478,"score_gpt":0.3120959354164136,"score_spread":0.2940056014480188,"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."}}