{"id":"W3203775877","doi":"10.1016/j.breast.2021.09.009","title":"Machine learning to predict individual patient-reported outcomes at 2-year follow-up for women undergoing cancer-related mastectomy and breast reconstruction (INSPiRED-001)","year":2021,"lang":"en","type":"article","venue":"The Breast","topic":"Breast Implant and Reconstruction","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; University of British Columbia; Memorial Sloan-Kettering Cancer Center","keywords":"Medicine; Mastectomy; Breast cancer; Breast reconstruction; Oncology; General surgery; Cancer; Medical physics; 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":[0.0002773247,0.0002667353,0.0004406107,0.0001445925,0.0004380131,0.00005720217,0.00007396257,0.0001574262,0.0003295092],"category_scores_gemma":[0.00005034261,0.0001918557,0.0001142035,0.0003053641,0.00009219181,0.0001331599,0.0001347146,0.0003028928,0.00001562396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002803201,"about_ca_system_score_gemma":0.0002107089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001679767,"about_ca_topic_score_gemma":0.0003068912,"domain_scores_codex":[0.9982406,0.00009854198,0.000473304,0.0004291162,0.0002972017,0.0004612535],"domain_scores_gemma":[0.9989172,0.0001371479,0.0002461035,0.0002479214,0.0001873068,0.0002643102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001276879,0.00008215327,0.4509231,0.000144285,0.001150757,0.00002790647,0.002162131,0.00002842909,0.001462995,0.00003720859,0.0001240192,0.5425801],"study_design_scores_gemma":[0.0169518,0.0004663072,0.6008043,0.0006381754,0.0009983036,0.3714517,0.004716293,0.0008541641,0.0008570449,0.0002549187,0.001425616,0.0005813993],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951025,0.0001695132,0.00001767566,0.001918179,0.00106793,0.0006961086,0.0003755785,0.000215133,0.0004373758],"genre_scores_gemma":[0.9952357,0.00003962903,0.0002832602,0.00008725093,0.0001772484,0.000117312,0.0002408605,0.0000501826,0.003768601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5419987,"threshold_uncertainty_score":0.7823647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374698479601957,"score_gpt":0.2356521026700903,"score_spread":0.2219051178740708,"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."}}