{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005887657,0.001183024,0.001481493,0.002326065,0.0005425306,0.001569782,0.001851545,0.0009428512,0.002535333],"category_scores_gemma":[0.006744185,0.0006178039,0.002219931,0.001534884,0.0003290256,0.0007008266,0.001150418,0.001426028,0.0004128577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001243001,"about_ca_system_score_gemma":0.001493176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02376309,"about_ca_topic_score_gemma":0.01218998,"domain_scores_codex":[0.9986099,0.0007196706,0.00009380935,0.0003361069,0.0000787462,0.0001618333],"domain_scores_gemma":[0.9942116,0.003543268,0.001062191,0.0002493072,0.0004865955,0.0004469549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002127206,0.000815801,0.6097218,0.0001169505,0.002701787,0.0003265708,0.0001092482,0.3507548,0.0002383351,0.0007446415,0.003815323,0.0285274],"study_design_scores_gemma":[0.0001048417,0.0002564966,0.03842167,0.00002610944,0.000275644,0.0001092643,0.00005571926,0.9596251,0.00006429187,0.0007735178,0.0002608126,0.00002654034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515361,0.0009782522,0.04016646,0.00105903,0.0001381011,0.0001574692,0.004345267,0.000463018,0.001156379],"genre_scores_gemma":[0.9899501,0.0001562219,0.006399495,0.00006591331,0.00005790672,0.0001238574,0.002772753,0.00002025433,0.0004534941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02376309,"threshold_uncertainty_score":0.04724956,"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."}}