{"id":"W3023492461","doi":"10.14288/1.0390358","title":"Development of a bone-mounted dynamic physical constraint robot for unicompartmental knee arthroplasty","year":2020,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Unicompartmental knee arthroplasty; Constraint (computer-aided design); Computer science; Robot; Orthodontics; Engineering; Medicine; Osteoarthritis; Artificial intelligence; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003233372,0.0004365185,0.0003728816,0.0002807396,0.0001974616,0.0002929904,0.001185111,0.0005730579,0.002119357],"category_scores_gemma":[0.0005060821,0.0003082625,0.0003748365,0.0001484246,0.0003264193,0.0003348565,0.00054259,0.0004213696,0.00075523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001703345,"about_ca_system_score_gemma":0.0007810132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001130767,"about_ca_topic_score_gemma":0.0008767925,"domain_scores_codex":[0.9995739,0.00003447806,0.00003010558,0.0000720466,0.0002453372,0.00004409617],"domain_scores_gemma":[0.9996269,0.00004997311,0.0000649635,0.00005847945,0.0001443169,0.00005539216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002997933,0.0002858364,0.002481901,0.0006671662,0.00004798501,0.0006484293,0.000211541,0.05458064,0.7472361,0.003190716,0.001674392,0.1886754],"study_design_scores_gemma":[0.0003849661,0.007130948,0.01821282,0.0001340194,0.0001479914,0.0033819,0.000176994,0.5326244,0.367137,0.001229995,0.06911682,0.0003221628],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1502746,0.0004001705,0.8399682,0.000178159,0.0001506641,0.0005593188,0.0001763809,0.00261588,0.005676632],"genre_scores_gemma":[0.4922065,0.0002482878,0.5016981,0.00006363516,0.00001962283,0.0003839005,0.0002128533,0.0001002062,0.005066941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002119357,"threshold_uncertainty_score":0.007089972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328077969509918,"score_gpt":0.2213282331117925,"score_spread":0.2080474534166934,"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."}}