{"id":"W1992855292","doi":"10.1002/jor.21567","title":"Computer‐assisted patellar resection system: Development and insights","year":2011,"lang":"en","type":"article","venue":"Journal of Orthopaedic Research®","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Patella; Resection; Medicine; Total knee arthroplasty; Computer-assisted surgery; Anterior knee pain; Femur; Patella fracture; Range of motion; Tibia; Surgery; Orthodontics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001877563,0.0001294415,0.0003856538,0.0007546794,0.0001958017,0.00003376873,0.000108958,0.000102047,0.00005097699],"category_scores_gemma":[0.0002361213,0.00009072798,0.0001063074,0.0004020606,0.000193529,0.0002016784,0.0001165781,0.0006683099,0.00004845843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002093141,"about_ca_system_score_gemma":0.0004178342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001845998,"about_ca_topic_score_gemma":0.00002253412,"domain_scores_codex":[0.9973432,0.0002697073,0.0006900076,0.0001786721,0.001193829,0.0003245599],"domain_scores_gemma":[0.9982027,0.000141106,0.0002336015,0.0001983099,0.0007748509,0.0004494046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007744176,0.001567743,0.5330753,0.003320657,0.00159034,0.01965727,0.03312988,0.000005201429,0.007186985,0.001800843,0.007956829,0.3829648],"study_design_scores_gemma":[0.005416817,0.004081954,0.9377789,0.001764869,0.00008076184,0.008578994,0.003689582,0.0001696697,0.007471512,0.000082028,0.0306718,0.0002130685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947624,0.001318351,0.0003034111,0.0001675032,0.0004671073,0.00023209,3.38721e-7,0.00002562083,0.002723213],"genre_scores_gemma":[0.990485,0.0001907702,0.008520874,0.0000292561,0.000291373,0.000003090011,0.000001136236,0.00002209419,0.000456467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4047037,"threshold_uncertainty_score":0.369978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1056015954271723,"score_gpt":0.3222627007223973,"score_spread":0.2166611052952251,"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."}}