{"id":"W4380423257","doi":"10.2196/45212","title":"Prediction Model for Postoperative Quality of Life Among Breast Cancer Survivors Along the Survivorship Trajectory From Pretreatment to 5 Years: Machine Learning–Based Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Cancer survivorship and care","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation; Samsung; Korea Breast Cancer Foundation; National Research Foundation of Korea; Amorepacific Corporation","keywords":"Breast cancer; Medicine; Survivorship curve; Psychosocial; Quality of life (healthcare); Cohort; Cancer; Gerontology; Family medicine; Internal medicine; Nursing; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.005831092,0.00118263,0.001430145,0.002446702,0.000593964,0.001372663,0.0012738,0.001148052,0.003039455],"category_scores_gemma":[0.009800984,0.0003626295,0.00216217,0.001283948,0.0003294604,0.0007502703,0.0008602,0.002609177,0.0006395412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001174337,"about_ca_system_score_gemma":0.00180518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01544787,"about_ca_topic_score_gemma":0.007548034,"domain_scores_codex":[0.998952,0.0003966054,0.0001003393,0.0002821382,0.0001127383,0.0001560742],"domain_scores_gemma":[0.9933803,0.004889159,0.0004735849,0.0002129147,0.0008121473,0.0002319815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008707058,0.001293782,0.4197825,0.0002031429,0.0007600948,0.0003932176,0.0002505229,0.454964,0.000634313,0.0009470329,0.007044355,0.1128563],"study_design_scores_gemma":[0.00001675358,0.0001241658,0.01432819,0.00002915391,0.00005634278,0.00004966839,0.00005777183,0.9843127,0.0001249197,0.0006292043,0.0002565056,0.00001461855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8760514,0.001626065,0.1121805,0.002111299,0.0002260416,0.0003461973,0.005095362,0.0009065582,0.00145661],"genre_scores_gemma":[0.9720458,0.000338613,0.0210658,0.0001342402,0.0000627181,0.0003495377,0.004880112,0.00003357849,0.001089542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01544787,"threshold_uncertainty_score":0.03083813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0581150478092441,"score_gpt":0.3349168575481788,"score_spread":0.2768018097389347,"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."}}