{"id":"W3136407982","doi":"10.1002/acr.24601","title":"Machine Learning–Based Individualized Survival Prediction Model for Total Knee Replacement in Osteoarthritis: Data From the Osteoarthritis Initiative","year":2021,"lang":"en","type":"article","venue":"Arthritis Care & Research","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier de l'Université Laval; HEC Montréal; Université de Montréal; Université Laval","funders":"Institut TransMedTech; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Heart, Lung, and Blood Institute","keywords":"Osteoarthritis; Lasso (programming language); Brier score; Support vector machine; Proportional hazards model; Concordance; Medicine; Logistic regression; Artificial intelligence; Machine learning; Computer science; Data mining; Internal medicine; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002156809,0.0005940503,0.0008116784,0.0008233446,0.0001945631,0.000517596,0.0006057382,0.0005163747,0.001033969],"category_scores_gemma":[0.003541652,0.0001808383,0.0008435019,0.0004699863,0.0002008704,0.0002951386,0.000392538,0.0009393476,0.000278959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005681347,"about_ca_system_score_gemma":0.0008255647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007014847,"about_ca_topic_score_gemma":0.005617194,"domain_scores_codex":[0.9996386,0.0001466713,0.00002625595,0.00008869312,0.00004682486,0.00005297669],"domain_scores_gemma":[0.9982863,0.001133213,0.0002328445,0.00007496108,0.0002003157,0.00007236932],"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":[0.001067784,0.0007202949,0.2728464,0.0001506175,0.0004334328,0.0003672635,0.0001267046,0.6385348,0.001296775,0.001274834,0.003403969,0.07977706],"study_design_scores_gemma":[0.00002522569,0.000147841,0.01413054,0.0000166327,0.00003802339,0.00005443089,0.00001747136,0.984441,0.0002200345,0.0006452975,0.0002507305,0.00001278634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9405456,0.0008833378,0.05480871,0.0008326329,0.00004923706,0.00007898968,0.001884874,0.0002176375,0.000698943],"genre_scores_gemma":[0.9888275,0.0001323399,0.008347386,0.00005238446,0.00003082092,0.00009093402,0.001937351,0.000007076997,0.0005742463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007014847,"threshold_uncertainty_score":0.01394802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09744223489719606,"score_gpt":0.3634410253136501,"score_spread":0.265998790416454,"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."}}