{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002695305,0.0003327848,0.0003132384,0.0006095202,0.0001404054,0.0004088047,0.0003460411,0.0004643009,0.0008377611],"category_scores_gemma":[0.007574423,0.0001379924,0.0005580098,0.0004843188,0.0001477454,0.0002965432,0.0003624527,0.0006074489,0.0002610153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004215475,"about_ca_system_score_gemma":0.0002773627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002060243,"about_ca_topic_score_gemma":0.002582072,"domain_scores_codex":[0.9994621,0.0002675459,0.00004927395,0.00009851854,0.00007308448,0.00004953587],"domain_scores_gemma":[0.9963904,0.002084046,0.0008268345,0.0001625347,0.000372405,0.0001637936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000463101,0.0002281121,0.9714229,0.00002425277,0.0001126535,0.00002123,0.00004875959,0.005463391,0.0002318546,0.00003234858,0.0004884851,0.02146296],"study_design_scores_gemma":[0.00005856158,0.001128217,0.8873657,0.00002312025,0.00008414197,0.0001608865,0.00009881262,0.109709,0.0006792413,0.0002154156,0.000461142,0.00001574719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971696,0.0001678421,0.001589051,0.0001222401,0.0000108713,0.0000306261,0.0006075691,0.00002554993,0.0002767771],"genre_scores_gemma":[0.9967793,0.00005666367,0.001997756,0.00003188487,0.000007774632,0.00003475677,0.0009252062,0.000003001207,0.0001637835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002695305,"threshold_uncertainty_score":0.01425433,"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."}}