{"id":"W2938359343","doi":"10.1016/j.joca.2019.02.782","title":"Continuous and interval-based approaches to calculating the weighted centroid of in vivo knee articular cartilage contact","year":2019,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Cartilage; Weighting; Osteoarthritis; Centroid; Magnetic resonance imaging; Articular cartilage; Contact mechanics; Interval (graph theory); Knee Joint; Mathematics; Biomedical engineering; Medicine; Orthodontics; Computer science; Anatomy; Artificial intelligence; Finite element method; Surgery; Structural engineering; Pathology; Radiology; Engineering; Combinatorics","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":[0.002327749,0.0006185831,0.000677846,0.002873904,0.0003596357,0.001811911,0.001971343,0.0010726,0.003017334],"category_scores_gemma":[0.009700714,0.0004499627,0.0007424973,0.002842287,0.0006287867,0.001568175,0.001234524,0.001284555,0.0009332694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005667699,"about_ca_system_score_gemma":0.0006169998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002249247,"about_ca_topic_score_gemma":0.003022744,"domain_scores_codex":[0.9981782,0.000355613,0.0001497303,0.0003052634,0.0009359375,0.00007520472],"domain_scores_gemma":[0.9959601,0.001567697,0.000504836,0.0004765836,0.001357282,0.0001335178],"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":[0.000781455,0.0002455683,0.007333819,0.0006942202,0.0002626115,0.0001948589,0.0006367726,0.1202872,0.08192359,0.01124411,0.001976535,0.7744193],"study_design_scores_gemma":[0.00004703681,0.0003401268,0.01333628,0.0000725456,0.0001003237,0.0006276421,0.0002144739,0.9426138,0.03141515,0.005794175,0.005287679,0.0001507571],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01183777,0.0003163884,0.9866493,0.00002685777,0.00005108047,0.00003477902,0.00005728532,0.000399514,0.0006270029],"genre_scores_gemma":[0.1924069,0.0003861331,0.8051844,0.0000298368,0.00008177237,0.000122276,0.0002283537,0.000268822,0.001291424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003017334,"threshold_uncertainty_score":0.0123105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270577803377189,"score_gpt":0.2175765280181092,"score_spread":0.2048707499843373,"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."}}