{"id":"W2413766413","doi":"","title":"Accuracy evaluation of a shape-based registration method for a computer navigation system for total knee arthroplasty.","year":2003,"lang":"en","type":"article","venue":"PubMed","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cadaveric spasm; Medicine; Femur; Tibia; Cadaver; Position (finance); Scanner; Sampling (signal processing); Computer vision; Root mean square; Artificial intelligence; Volume (thermodynamics); Nuclear medicine; Anatomy; Computer science; Surgery; Filter (signal processing)","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":[0.004899987,0.0004768019,0.0004517356,0.001261678,0.0002870212,0.0008376852,0.000817856,0.0007293514,0.0008285579],"category_scores_gemma":[0.02830672,0.0004750818,0.0004091025,0.0007941747,0.0003688199,0.0007071832,0.0006859668,0.0003829963,0.0005574155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000540753,"about_ca_system_score_gemma":0.0008022223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001784101,"about_ca_topic_score_gemma":0.002543602,"domain_scores_codex":[0.9950393,0.001400601,0.0003247366,0.0003644988,0.002796187,0.00007466484],"domain_scores_gemma":[0.98768,0.005747426,0.001362643,0.001543448,0.003551326,0.0001153031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002180159,0.0001212261,0.04507511,0.0003654984,0.0003000492,0.0001295852,0.0004311086,0.01983933,0.1806378,0.001086462,0.001332532,0.7485011],"study_design_scores_gemma":[0.0003139144,0.003224699,0.1446252,0.0001199967,0.0007584326,0.006444721,0.0002709623,0.5431169,0.2863172,0.001326,0.0131161,0.0003658531],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3164308,0.002632723,0.6760178,0.0002461042,0.0001663049,0.0002093038,0.000180269,0.002773572,0.001343079],"genre_scores_gemma":[0.637046,0.0003906043,0.3610177,0.00008808328,0.00003340644,0.00009436024,0.0003218077,0.0002663906,0.0007416363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004899987,"threshold_uncertainty_score":0.02591395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04820428276281597,"score_gpt":0.3154800538605763,"score_spread":0.2672757710977604,"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."}}