{"id":"W580269539","doi":"","title":"PREFACE TO ACCIDENT ANALYSIS AND PREVENTION SPECIAL ISSUE: WHIPLASH","year":2000,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Whiplash; Engineering; Occupational safety and health; Transport engineering; Poison control; Human factors and ergonomics; Forensic engineering; Accident investigation; Suicide prevention; Aeronautics; Medicine; Political science; Medical emergency; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006966174,0.0003446437,0.0009206451,0.001744145,0.0002421421,0.0001779294,0.00020699,0.0001853971,0.04186873],"category_scores_gemma":[0.00004819025,0.0003405345,0.001095894,0.003893067,0.0000333663,0.0004327358,0.0001173328,0.0002056715,0.0008270398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002034353,"about_ca_system_score_gemma":0.00005053912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001442803,"about_ca_topic_score_gemma":0.008943947,"domain_scores_codex":[0.9969615,0.0001947145,0.0008281994,0.0008671811,0.0007297305,0.0004186149],"domain_scores_gemma":[0.998496,0.00003335494,0.0002793128,0.000676739,0.000190388,0.0003242064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006076684,0.0007084795,0.7020972,0.00001382338,0.01934334,0.00002458931,0.001279837,0.000318865,0.000947497,0.0001733558,0.008608843,0.2658765],"study_design_scores_gemma":[0.001022426,0.0006445567,0.9367781,0.00006960944,0.04270704,0.000005983149,0.0002102408,0.0008551195,0.002022897,0.001451369,0.01381454,0.000418154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825431,0.0001756844,0.01229858,0.0005708475,0.0001157639,0.0008400417,0.000001391576,0.0001087266,0.003345842],"genre_scores_gemma":[0.9232395,0.0004027696,0.001419173,0.000207933,0.001047591,0.00005742941,0.0004448749,0.00002723981,0.07315347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2654583,"threshold_uncertainty_score":0.9999509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013837921661509,"score_gpt":0.3152469987794834,"score_spread":0.3014090771179744,"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."}}