{"id":"W1602315751","doi":"","title":"Expediting emergency contact for car accidents. Database will link emergency contact information with vehicle ID number.","year":2008,"lang":"en","type":"article","venue":"PubMed","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Expediting; Medical emergency; Computer science; Database; Medicine; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001129981,0.0006465969,0.0006124887,0.003906248,0.0006176791,0.001683582,0.001207963,0.0008065297,0.09907099],"category_scores_gemma":[0.007280125,0.0004223621,0.0003579224,0.002435006,0.0001737506,0.002076625,0.001543894,0.0007746325,0.07441526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004304982,"about_ca_system_score_gemma":0.001678519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003032874,"about_ca_topic_score_gemma":0.003879448,"domain_scores_codex":[0.9992622,0.0001220049,0.0001761258,0.0001145815,0.0002663771,0.00005865882],"domain_scores_gemma":[0.994864,0.001487163,0.000801718,0.0009065969,0.001268866,0.000671586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003283387,0.0001639351,0.007960899,0.0003967801,0.00002365137,0.000197496,0.0001593263,0.0001689276,0.0009319432,0.001819946,0.7984737,0.189375],"study_design_scores_gemma":[0.0001557066,0.00009030854,0.01340375,0.000157365,0.00003550767,0.0005047296,0.0001314364,0.0009363979,0.002517593,0.0008780456,0.981145,0.00004406041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.02500138,0.003407362,0.04548438,0.00519463,0.002040501,0.002736023,0.6269813,0.06617083,0.2229836],"genre_scores_gemma":[0.07561024,0.003759957,0.06021596,0.003628815,0.001207074,0.001698903,0.6873081,0.004687735,0.1618833],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09907099,"threshold_uncertainty_score":0.3314255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582709900134478,"score_gpt":0.211251906361782,"score_spread":0.1954248073604372,"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."}}