{"id":"W2028933889","doi":"10.1016/j.proeng.2011.05.095","title":"Development of an ergonomic musculoskeletal model to estimate muscle forces during vertical jumping","year":2011,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Biceps; Jumping; Ankle; Jump; Anatomy; Electromyography; Physical medicine and rehabilitation; Vertical jump; Medicine; Biomedical engineering; Materials science; Mathematics; Geology; 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":[0.00006728432,0.0001934453,0.0001929148,0.0002285987,0.00005910192,0.0000110346,0.0001399692,0.0000476551,0.000008204627],"category_scores_gemma":[0.00002654809,0.0002138195,0.00005236806,0.0002157434,0.00000959423,0.0002480994,0.00004419415,0.0001031832,0.000002774608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005998747,"about_ca_system_score_gemma":0.00001746416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002107068,"about_ca_topic_score_gemma":0.000008858548,"domain_scores_codex":[0.9990385,0.000001897461,0.0002913582,0.0001879878,0.0001134483,0.0003668474],"domain_scores_gemma":[0.9996687,0.000009542494,0.00001403972,0.0001338655,0.00003222244,0.0001416842],"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":[0.0000225892,0.00005396792,0.0003097056,0.0008997877,0.0001395297,0.000001839417,0.009065657,0.5106547,0.4587515,0.0004751571,0.000007904228,0.01961769],"study_design_scores_gemma":[0.0002611771,0.00003120543,0.07850279,0.00008000612,0.00001820004,0.000002292933,0.0001055803,0.6346299,0.2858605,0.0000220585,0.00006912243,0.0004171668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9430589,0.0000449471,0.05579203,0.000002544204,0.00008918669,0.000133045,9.866129e-7,0.0004436669,0.0004347085],"genre_scores_gemma":[0.9068738,0.000005714183,0.09295963,0.000003402258,0.00003083614,0.000076333,0.000002193027,0.0000454331,0.000002609291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.172891,"threshold_uncertainty_score":0.8719308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548240886722406,"score_gpt":0.2310414274188764,"score_spread":0.2155590185516523,"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."}}