{"id":"W2887779540","doi":"","title":"Comprehensive assessment of simulator vehicle parameters and upper body kinematics and muscle activation between two display modalities in a driving simulator","year":2018,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Simulation; Kinematics; Driving simulator; Computer science; Modalities; Physical medicine and rehabilitation; Medicine; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004960466,0.0003653106,0.0003809996,0.0002871332,0.0002202793,0.0003600473,0.0001829316,0.0003268054,0.002857819],"category_scores_gemma":[0.001471111,0.0001706356,0.0003045056,0.0001583377,0.0002470446,0.000333119,0.00051347,0.0004123529,0.0005650411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001311048,"about_ca_system_score_gemma":0.0004176473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007557332,"about_ca_topic_score_gemma":0.001568264,"domain_scores_codex":[0.9997415,0.00005287766,0.00001869137,0.0000609286,0.00007770178,0.00004830341],"domain_scores_gemma":[0.9993871,0.0001515206,0.00007165753,0.00005540999,0.0001770899,0.000157258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009415857,0.00590399,0.153981,0.0005803779,0.0003291586,0.0003148321,0.002308097,0.002888525,0.7212696,0.0001909182,0.00117243,0.1016451],"study_design_scores_gemma":[0.000143109,0.03453825,0.909312,0.00005431101,0.0001934376,0.0004934363,0.001413345,0.002864664,0.04816006,0.0001937308,0.002565371,0.00006832302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969841,0.00004250659,0.001967671,0.00001512066,0.000007162535,0.0001229154,0.0003064838,0.00002434689,0.0005297035],"genre_scores_gemma":[0.9931767,0.0001060067,0.004037988,0.0000458062,0.00001105296,0.0003773498,0.0007074554,0.00002335392,0.001514303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002857819,"threshold_uncertainty_score":0.009560406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181088342622926,"score_gpt":0.2978447535936903,"score_spread":0.2797359193313977,"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."}}