{"id":"W2080724016","doi":"10.1016/j.medengphy.2009.03.008","title":"Effect of the calculation methods on body moment of inertia estimations in individuals of different morphology","year":2009,"lang":"en","type":"article","venue":"Medical Engineering & Physics","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Moment of inertia; Body mass index; Mathematics; Angular momentum; Lean body mass; Inverse; Population; Inertia; Statistics; Body height; Geodesy; Geometry; Mathematical analysis; Physics; Body weight; Medicine; Classical mechanics; Geography","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":[0.00925031,0.000863104,0.0007160784,0.001063376,0.0002914993,0.0006451845,0.0003541262,0.0005262353,0.0005021596],"category_scores_gemma":[0.05884865,0.0004275206,0.0007046702,0.0009897876,0.0006270885,0.000584765,0.0007239963,0.0004833468,0.0002508173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000196782,"about_ca_system_score_gemma":0.0001951532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007289289,"about_ca_topic_score_gemma":0.001216931,"domain_scores_codex":[0.9911056,0.005097231,0.0006884367,0.0009120295,0.002048504,0.0001482241],"domain_scores_gemma":[0.9419492,0.04685619,0.00430209,0.002873372,0.003632473,0.0003866571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01373707,0.0005548467,0.4607746,0.001200774,0.002027374,0.0004298572,0.002554009,0.01724103,0.08433305,0.0006560225,0.0006329879,0.4158583],"study_design_scores_gemma":[0.0001776424,0.006543587,0.9114265,0.0001400216,0.000582241,0.001468411,0.0005800009,0.03403975,0.04237764,0.0005339123,0.001958469,0.0001719128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96204,0.001925645,0.03438856,0.0001241121,0.0001141107,0.0001007021,0.0001415352,0.0001505063,0.001014743],"genre_scores_gemma":[0.9620221,0.0006664974,0.03639108,0.00005846706,0.00004167591,0.0001306435,0.0002018377,0.00007218981,0.0004154468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00925031,"threshold_uncertainty_score":0.04892093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137799537231627,"score_gpt":0.3862637419510416,"score_spread":0.3724837882278789,"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."}}