{"id":"W4283211324","doi":"10.1097/corr.0000000000002283","title":"Patients With Femoral Neck Fractures Are at Risk for Conversion to Arthroplasty After Internal Fixation: A Machine‐learning Algorithm","year":2022,"lang":"en","type":"article","venue":"Clinical Orthopaedics and Related Research","topic":"Hip and Femur Fractures","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; McMaster University; Impact","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health; National Institute for Health and Care Research; Canadian Institutes of Health Research; Universitair Medisch Centrum Groningen; ZonMw","keywords":"Medicine; Internal fixation; Avascular necrosis; Nonunion; Algorithm; Malunion; Surgery; Femoral neck; Arthroplasty; Femoral head; Internal medicine","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":[0.00456788,0.0005253957,0.001048039,0.001039077,0.0003303331,0.0008220722,0.0006888323,0.001014679,0.001223226],"category_scores_gemma":[0.01477753,0.0002443875,0.0009540829,0.0005301885,0.000296327,0.0006610996,0.0003547457,0.001039088,0.0001914231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004588733,"about_ca_system_score_gemma":0.0008334419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002108546,"about_ca_topic_score_gemma":0.001494419,"domain_scores_codex":[0.998849,0.0007244081,0.00009119252,0.0001559859,0.000105805,0.00007345738],"domain_scores_gemma":[0.9884422,0.01008351,0.0006037678,0.0001777262,0.0005308983,0.0001618009],"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":[0.004047582,0.001515509,0.5024025,0.000236056,0.000917258,0.0002653117,0.0001380919,0.1729776,0.0008052319,0.001571311,0.005529433,0.309594],"study_design_scores_gemma":[0.0006867902,0.001063383,0.03965125,0.0001162679,0.0003538858,0.0003720715,0.00008202593,0.952075,0.0005187764,0.004291481,0.0007560533,0.00003311083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9092969,0.003173632,0.07940456,0.004589056,0.0001369392,0.0003228857,0.0005165518,0.000257558,0.002302],"genre_scores_gemma":[0.9640285,0.0005238865,0.03345576,0.0004777027,0.0001291534,0.0001881028,0.0007182463,0.00001110707,0.0004674961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00456788,"threshold_uncertainty_score":0.02415752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02418913941283048,"score_gpt":0.3595824229637615,"score_spread":0.3353932835509311,"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."}}