{"id":"W2891462633","doi":"10.1007/s00167-018-5133-x","title":"No difference in outcomes and gait analysis between mechanical and kinematic knee alignment methods using robotic total knee arthroplasty","year":2018,"lang":"en","type":"article","venue":"Knee Surgery Sports Traumatology Arthroscopy","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Valgus; Kinematics; Medicine; WOMAC; Gait; Range of motion; Physical therapy; Gait analysis; Physical medicine and rehabilitation; Osteoarthritis; Total knee arthroplasty; Arthroplasty; Radiological weapon; Orthodontics; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001426915,0.0002455473,0.0004759119,0.0003039542,0.0001234354,0.000320568,0.0002148111,0.0002320076,0.00161722],"category_scores_gemma":[0.003558287,0.0001122089,0.0004011587,0.0002137526,0.0002843794,0.0003225484,0.0002661798,0.0001575343,0.0003079415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001511692,"about_ca_system_score_gemma":0.000249758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001392746,"about_ca_topic_score_gemma":0.0002865455,"domain_scores_codex":[0.9985269,0.0005038966,0.0002246959,0.0001429644,0.0004749574,0.0001265308],"domain_scores_gemma":[0.9979539,0.0005113913,0.0009057277,0.0001859753,0.0002568662,0.0001862191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03514907,0.004285826,0.6929922,0.0007755124,0.001005363,0.0005915532,0.0003761272,0.0007784505,0.02760734,0.0001178594,0.0004584283,0.2358623],"study_design_scores_gemma":[0.0009245814,0.06527237,0.9255162,0.00007023117,0.0003320256,0.002110295,0.0002725325,0.001012665,0.003342905,0.0001046104,0.001015858,0.00002574957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986612,0.0004131301,0.0004952932,0.000020049,0.00001694743,0.00002859687,0.00003418927,0.000005097502,0.0003254962],"genre_scores_gemma":[0.9993949,0.000102054,0.0002547079,0.00002299434,0.00001912792,0.0000283618,0.00006795472,0.000001329587,0.0001085404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00161722,"threshold_uncertainty_score":0.007546365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03123150469672229,"score_gpt":0.324773198917824,"score_spread":0.2935416942211017,"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."}}