{"id":"W2346231558","doi":"","title":"AN ACCURATE THREE-DIMENSIONAL METHOD FOR THE ASSESSMENT OF JOINT LINE SHIFT POST KNEE ARTHROPLASTY","year":2018,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Joint (building); Orthodontics; Radiography; Knee Joint; Arthroplasty; Medicine; Implant; Superimposition; Surgery; Computer science; Artificial intelligence","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":[0.001581574,0.0007486188,0.0005707312,0.003985685,0.0003212316,0.001096079,0.00078929,0.0008319439,0.003679028],"category_scores_gemma":[0.003424609,0.0005626635,0.0005550753,0.001824491,0.0003741653,0.0008147288,0.00105979,0.0007969065,0.001697575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003651979,"about_ca_system_score_gemma":0.000451216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001115551,"about_ca_topic_score_gemma":0.001976751,"domain_scores_codex":[0.9975223,0.0005150677,0.0003692172,0.0002351942,0.001273085,0.00008506657],"domain_scores_gemma":[0.9973067,0.0006526657,0.0004480161,0.0003507266,0.001152039,0.00008986435],"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":[0.001736467,0.0002746797,0.1129065,0.001264575,0.0002263815,0.0008971265,0.0008698624,0.006273872,0.2940984,0.001649543,0.005295599,0.5745069],"study_design_scores_gemma":[0.0001107828,0.002349573,0.668402,0.0003102202,0.000447145,0.01069185,0.001078788,0.05929711,0.21794,0.001812875,0.03687245,0.0006872166],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2474142,0.007946483,0.7236692,0.0003461099,0.0004846956,0.0008431402,0.003564377,0.003675797,0.01205617],"genre_scores_gemma":[0.6193189,0.002941642,0.3692631,0.0001922649,0.000159347,0.001105408,0.001381539,0.0002836044,0.005354265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003985685,"threshold_uncertainty_score":0.01230758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.067279569476951,"score_gpt":0.3446849966968947,"score_spread":0.2774054272199437,"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."}}