{"id":"W2073866063","doi":"10.1080/13588265.2013.815019","title":"Human rib response to different restraint systems in frontal impacts: a study using a human body model","year":2013,"lang":"en","type":"article","venue":"International Journal of Crashworthiness","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Sherbrooke; European Commission; University of Virginia","keywords":"Human-body model; Human body; Poison control; Human factors and ergonomics; Injury prevention; Physical medicine and rehabilitation; Engineering; Psychology; Computer science; Medicine; Medical emergency; Anatomy; Artificial intelligence","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":[0.0004835496,0.0004616474,0.0003323162,0.0004370564,0.0002190081,0.0003607824,0.0003829585,0.0006905029,0.001417984],"category_scores_gemma":[0.001404181,0.0002637843,0.0004215496,0.0002642903,0.0002826564,0.0002152177,0.0003402194,0.0001379258,0.0004573946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002156881,"about_ca_system_score_gemma":0.0002189371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004942669,"about_ca_topic_score_gemma":0.005305359,"domain_scores_codex":[0.9997857,0.00007640397,0.00001420843,0.00003026896,0.00006462134,0.00002886858],"domain_scores_gemma":[0.9994734,0.0002487379,0.00005946237,0.00008039078,0.0001092307,0.00002879152],"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":[0.00287294,0.001490015,0.09108739,0.0005045888,0.0002353687,0.002355573,0.001578936,0.6345083,0.1857053,0.0006444286,0.001009843,0.07800722],"study_design_scores_gemma":[0.0001148537,0.007193183,0.1327545,0.00006603612,0.0001878184,0.00127948,0.001275076,0.8071995,0.04752989,0.0002909202,0.002044673,0.00006417841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920537,0.00005049389,0.007006285,0.00001580393,0.000004417711,0.00003933593,0.0001411456,0.00003386122,0.0006549302],"genre_scores_gemma":[0.9972612,0.00006572554,0.001995581,0.000009239076,0.000002783657,0.0000184152,0.0001425408,0.000008555251,0.0004961459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004942669,"threshold_uncertainty_score":0.009827793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03873480669822278,"score_gpt":0.3677942802887635,"score_spread":0.3290594735905408,"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."}}