{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001135075,0.0003289507,0.0002180973,0.0004712251,0.00008731321,0.0004339313,0.000635395,0.0004545834,0.002082753],"category_scores_gemma":[0.001402639,0.0002397326,0.0002040815,0.0002664133,0.0002393546,0.0006879868,0.0002420442,0.0003130877,0.0004886425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002365874,"about_ca_system_score_gemma":0.0004870061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001490403,"about_ca_topic_score_gemma":0.001170708,"domain_scores_codex":[0.9995316,0.0001313363,0.00003259457,0.00005998021,0.0002114156,0.00003305716],"domain_scores_gemma":[0.9991684,0.0002659483,0.00003977169,0.00004761792,0.0004181162,0.00006019159],"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":[0.0007872424,0.001260274,0.02881286,0.0005691397,0.00008169064,0.0006104091,0.0008152896,0.003780894,0.1489487,0.003466461,0.004273604,0.8065935],"study_design_scores_gemma":[0.0007233785,0.02376412,0.1728882,0.0004339143,0.0004901144,0.01729336,0.001382381,0.2335025,0.4070831,0.002511199,0.1395033,0.0004243723],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6297868,0.007828082,0.3422435,0.001142521,0.0001401931,0.0009562128,0.0003728981,0.00206603,0.01546375],"genre_scores_gemma":[0.6935763,0.004789047,0.2872095,0.0003424808,0.00009540012,0.0004657334,0.0007267435,0.0002426815,0.0125521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002082753,"threshold_uncertainty_score":0.006967545,"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."}}