{"id":"W2128378409","doi":"10.1109/iembs.1995.579668","title":"Planning of prosthetic ligament insertion in the knee","year":2002,"lang":"en","type":"article","venue":"","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinematics; Orientation (vector space); Anterior cruciate ligament; Orthodontics; Biomechanics; Deformation (meteorology); Ligament; Knee flexion; Computer science; Biomedical engineering; Anatomy; Materials science; Mathematics; Medicine; Physics; Geometry; Composite material","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":[0.0004729223,0.0004495935,0.0002884607,0.0006824778,0.0002733915,0.0009192856,0.0004327993,0.0005097649,0.002369311],"category_scores_gemma":[0.001711249,0.0007530678,0.0002678406,0.0002802746,0.000364983,0.0005159899,0.0004490009,0.0002753064,0.0007093357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004671439,"about_ca_system_score_gemma":0.001540303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004082356,"about_ca_topic_score_gemma":0.007122322,"domain_scores_codex":[0.999745,0.00006274347,0.0000225577,0.00004543009,0.00009386333,0.00003047465],"domain_scores_gemma":[0.9996899,0.0001122217,0.00006023582,0.00003499689,0.00005953785,0.00004313567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001264154,0.0002420904,0.02458223,0.000437679,0.00003795576,0.001487169,0.001165163,0.4444331,0.1585006,0.003852639,0.001916989,0.3620803],"study_design_scores_gemma":[0.0001318559,0.001725368,0.02109594,0.0001640059,0.00006777552,0.003752198,0.001159257,0.8819379,0.07231012,0.006823463,0.0106704,0.0001617423],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.33412,0.0008229902,0.6576539,0.000176243,0.00004895431,0.0001694096,0.0001962935,0.001384404,0.005427821],"genre_scores_gemma":[0.8677006,0.0003771028,0.1298916,0.0000171713,0.000006313717,0.00006716332,0.0001190226,0.00008260033,0.001738385],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004082356,"threshold_uncertainty_score":0.008117199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03503092826797239,"score_gpt":0.2710252314112915,"score_spread":0.2359943031433192,"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."}}