{"id":"W4395044705","doi":"10.1007/978-3-031-55315-8_1","title":"How Does Knee Brace Modelling Influence the Prediction of Medial and Lateral Contact Forces?","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computational vision and biomechanics","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Squat; Brace; Valgus; Knee flexion; Moment (physics); Orthodontics; Biplane; Medicine; Physical medicine and rehabilitation; Structural engineering; Materials science; Engineering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007782343,0.0002189917,0.0002207615,0.0002489141,0.00006385899,0.0001012722,0.00005589332,0.000255098,0.000004914962],"category_scores_gemma":[0.0000133321,0.0001361362,0.00005415084,0.00009530475,0.00004653762,0.000113506,0.00004388022,0.0003889242,2.015279e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002444904,"about_ca_system_score_gemma":0.00001073326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000473624,"about_ca_topic_score_gemma":0.00001506404,"domain_scores_codex":[0.9992526,0.000007185208,0.000217162,0.0001888294,0.0002229488,0.0001112942],"domain_scores_gemma":[0.9994656,0.0003023437,0.00006369399,0.00007131366,0.00006828567,0.00002878915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001599945,0.00003156233,0.00006661757,0.00196573,0.0008312515,0.00001380109,0.003530032,0.5232465,0.01165752,0.1758679,0.0001974382,0.2824317],"study_design_scores_gemma":[0.0002136472,0.0001115808,0.0000983411,0.0003208561,0.00003514669,0.000007539868,0.000009837111,0.738683,0.0003922891,0.2574803,0.002483569,0.0001638814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09221776,0.01211914,0.8846813,0.005192267,0.002201098,0.001277806,0.0004017288,0.0004320638,0.001476787],"genre_scores_gemma":[0.9979601,0.0009997492,0.0006252255,0.00009021351,0.00008979131,0.00000550083,0.0000548137,0.00002620718,0.0001484214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9057423,"threshold_uncertainty_score":0.5551475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008997707819146685,"score_gpt":0.2104314439039485,"score_spread":0.2014337360848018,"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."}}