{"id":"W4396831161","doi":"10.1016/j.artd.2024.101395","title":"Predicting Recovery Following Total Hip and Knee Arthroplasty Using a Clustering Algorithm","year":2024,"lang":"en","type":"article","venue":"Arthroplasty Today","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Total hip arthroplasty; Total knee arthroplasty; Cluster analysis; Algorithm; Arthroplasty; Surgery; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002989625,0.0006858187,0.0008049204,0.002462049,0.0008341431,0.001114494,0.001137926,0.0008474918,0.00109463],"category_scores_gemma":[0.009318931,0.0003010414,0.001250039,0.001478728,0.0003433244,0.0006385469,0.0009779433,0.0009040883,0.0003232543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001129191,"about_ca_system_score_gemma":0.001648109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02388294,"about_ca_topic_score_gemma":0.01622806,"domain_scores_codex":[0.9987378,0.0004497456,0.0001672778,0.0003055253,0.0001670999,0.0001725651],"domain_scores_gemma":[0.9959448,0.00202822,0.0007456432,0.0002441926,0.0007603142,0.0002768104],"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":[0.0008828865,0.0007571599,0.7266997,0.0001095538,0.0005636404,0.0002207968,0.0004388751,0.1384814,0.001160887,0.0009241168,0.003244016,0.126517],"study_design_scores_gemma":[0.00006502039,0.0002077708,0.1158748,0.00003634196,0.0000784648,0.0001640078,0.0003771988,0.8792647,0.0005840189,0.00274265,0.0005628493,0.00004216183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9117239,0.0004133683,0.08461354,0.0006797564,0.0000390309,0.000378968,0.0009000878,0.0003679591,0.0008833489],"genre_scores_gemma":[0.9609541,0.0001036858,0.03688987,0.00005541879,0.00002142204,0.000142583,0.001434724,0.00001629974,0.0003817642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02388294,"threshold_uncertainty_score":0.04748785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424628839574435,"score_gpt":0.2600713551094697,"score_spread":0.2458250667137253,"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."}}