{"id":"W3138376133","doi":"10.21203/rs.3.rs-337246/v1","title":"Short- to mid-term outcomes of computer navigation assisted total knee arthroplasty using adjusted mechanical alignment compared to mechanical alignment","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Term (time); Total knee arthroplasty; Computer science; Arthroplasty; Mechanical failure; Medicine; Physical medicine and rehabilitation; Orthodontics; Surgery; Physics","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":[0.0008390209,0.0002639392,0.0005049832,0.0007543212,0.0002168641,0.0004838459,0.0002204318,0.0002770664,0.0009421423],"category_scores_gemma":[0.002700208,0.0001183022,0.000604317,0.0004968619,0.0003414506,0.0004338614,0.0003861181,0.0002359497,0.0001960963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002044049,"about_ca_system_score_gemma":0.0002280231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003184504,"about_ca_topic_score_gemma":0.0007310249,"domain_scores_codex":[0.9991432,0.0001923349,0.0001856926,0.00009387083,0.0002983419,0.00008648693],"domain_scores_gemma":[0.9969167,0.0005120052,0.001700239,0.0001182189,0.0004132608,0.0003396507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003623331,0.0009710941,0.9477448,0.000286912,0.0005523171,0.0003639693,0.0002306559,0.0002941563,0.004449605,0.00002928389,0.0001306924,0.04132307],"study_design_scores_gemma":[0.00008611201,0.01585099,0.9793795,0.00004344685,0.0003169342,0.002228641,0.0003056327,0.0004177866,0.0009564854,0.00003478497,0.0003593189,0.00002027057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984934,0.001052762,0.0001318499,0.00001287101,0.00001307178,0.00001201984,0.00005497768,0.000003266573,0.0002256253],"genre_scores_gemma":[0.9995924,0.0001469258,0.00008865774,0.000009491602,0.00001725378,0.000009503829,0.0000730299,7.443137e-7,0.00006190931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009421423,"threshold_uncertainty_score":0.004437268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1142015848729864,"score_gpt":0.4011179222825561,"score_spread":0.2869163374095697,"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."}}