{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007881468,0.0002427297,0.0005532173,0.001003261,0.00008358186,0.0001670007,0.0004173747,0.00008740257,0.0001470389],"category_scores_gemma":[0.0001457603,0.0001878145,0.0001596697,0.0001373846,0.00003772459,0.0003343421,0.000131338,0.0004357357,0.00001183782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007609134,"about_ca_system_score_gemma":0.0001648464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005489553,"about_ca_topic_score_gemma":0.0001490539,"domain_scores_codex":[0.9972316,0.0001594855,0.001107421,0.000225638,0.001015878,0.000259983],"domain_scores_gemma":[0.9979939,0.00004313966,0.000496431,0.0002199357,0.0009776828,0.0002688359],"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":[0.00279655,0.004947735,0.1189404,0.00006348837,0.0009775179,0.002343783,0.009405347,0.004841275,0.8536484,0.0007989842,0.0007867754,0.0004497728],"study_design_scores_gemma":[0.00691378,0.002993863,0.9569407,0.001267269,0.0001464479,0.0007089491,0.002999017,0.02531768,0.0009054988,0.001392714,0.00004032215,0.0003738381],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961858,0.00004465915,0.001924847,0.0004748311,0.0005696802,0.0007079412,0.00001591135,0.00001816339,0.0000582075],"genre_scores_gemma":[0.9988762,0.000001676858,0.000152335,0.0001868354,0.0004194481,0.00001800814,0.000006077757,0.00003508889,0.0003043584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8527429,"threshold_uncertainty_score":0.7658853,"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."}}