{"id":"W1971370944","doi":"10.1080/15389588.2012.672783","title":"Investigating Cervical Muscle Response and Head Kinematics During Right, Left, Frontal and Rear-Seated Perturbations","year":2012,"lang":"en","type":"article","venue":"Traffic Injury Prevention","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinematics; Head (geology); Physical medicine and rehabilitation; Anatomy; Poison control; Biomechanics; Left and right; Medicine; Physics; Geology; Engineering; Structural engineering; Medical emergency; Classical mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005341348,0.0001671195,0.0002374122,0.0001463076,0.0002802364,0.00003201085,0.00003710183,0.0001374081,0.0001984568],"category_scores_gemma":[0.0001283857,0.0001529557,0.00005809859,0.0001068309,0.0001056553,0.0002620564,0.0000535803,0.0002202142,0.00001861628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007720662,"about_ca_system_score_gemma":0.00003997261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003977042,"about_ca_topic_score_gemma":0.00001000835,"domain_scores_codex":[0.9987938,0.0001761016,0.0003303832,0.0002239848,0.0001920496,0.0002836912],"domain_scores_gemma":[0.999373,0.00006435511,0.0001060873,0.0001737676,0.00005444906,0.000228389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002794964,0.002401036,0.02100972,0.002253146,0.0004748924,0.00003464688,0.0288201,0.00001272603,0.892446,0.007669331,0.001670651,0.04041273],"study_design_scores_gemma":[0.002206771,0.001031828,0.9796348,0.000566885,0.0003498838,0.0002177222,0.0007199969,0.004580713,0.008832082,0.0006882371,0.0007944071,0.0003767383],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983886,0.0002327123,0.0002083139,0.0003003135,0.0001040653,0.0004131909,0.00001337728,0.0001431921,0.0001962407],"genre_scores_gemma":[0.9950675,0.00002771621,0.002604936,0.00008116972,0.0001598625,0.00001204313,0.00005698145,0.00002696392,0.001962877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.958625,"threshold_uncertainty_score":0.6237352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02410103319164743,"score_gpt":0.2997907324063621,"score_spread":0.2756896992147146,"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."}}