{"id":"W2009657454","doi":"10.1115/1.4027333","title":"A Physics-Based Musculoskeletal Driver Model to Study Steering Tasks","year":2014,"lang":"en","type":"article","venue":"Journal of Computational and Nonlinear Dynamics","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Task (project management); Driving simulator; Process (computing); Computer science; Steering wheel; Vehicle dynamics; Fidelity; High fidelity; Simulation; Work (physics); Active steering; Control (management); Electronic stability control; Automotive engineering; Engineering; Systems engineering; 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":[0.0001599865,0.0003447229,0.0002374321,0.0002688022,0.0001726805,0.0003076841,0.0005978471,0.0006952073,0.002518284],"category_scores_gemma":[0.0004749176,0.0002728145,0.0004426462,0.0001608349,0.0001914501,0.0004026809,0.0004079222,0.0003780307,0.0005360802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002076955,"about_ca_system_score_gemma":0.0006734739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005747512,"about_ca_topic_score_gemma":0.005316226,"domain_scores_codex":[0.9999455,0.00001416986,0.00000364328,0.00001189699,0.00001676548,0.000007946076],"domain_scores_gemma":[0.9998931,0.00004112367,0.00001546211,0.00001364493,0.00002722301,0.000009519508],"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":[0.00003366839,0.00009119642,0.001617421,0.00006825855,0.00002370811,0.00008648172,0.0001141231,0.9701905,0.01265016,0.005498241,0.0005575388,0.009068694],"study_design_scores_gemma":[0.000007016272,0.00004122587,0.0005763914,0.000003651147,0.000005219821,0.00001935024,0.00001720491,0.9972786,0.0002880219,0.0007056736,0.001053127,0.000004538547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1855002,0.0002918277,0.7894735,0.0003997193,0.00006781934,0.0002318666,0.0006059317,0.0003429817,0.02308616],"genre_scores_gemma":[0.9454154,0.0004411501,0.04148827,0.00007281203,0.00003347365,0.0004354251,0.0003692648,0.00005991593,0.01168431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005747512,"threshold_uncertainty_score":0.01142812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008483141053926242,"score_gpt":0.2430488500975196,"score_spread":0.2345657090435933,"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."}}