{"id":"W2029651663","doi":"10.1097/00005373-200508000-00176","title":"PROSPECTIVE EVALUATION OF SCREENING MULTISLICE HELICAL COMPUTED TOPMOGRAPHIC ANGIOGRAPHY IN THE INITIAL EVALUATION OF PENETRATING NECK INJURIES","year":2005,"lang":"en","type":"article","venue":"The Journal of Trauma: Injury, Infection, and Critical Care","topic":"Engineering Technology and Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multislice computed tomography; Medicine; Radiology; Multislice; Angiography; Helical computed tomography; Computed tomography angiography; Neck injury; Computed tomography; Poison control; Medical emergency","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":[0.002552956,0.0006423089,0.0006142427,0.0008344929,0.0007732578,0.001007968,0.0006155534,0.001740917,0.001812932],"category_scores_gemma":[0.009876227,0.0006839836,0.0005736809,0.001073756,0.0008995651,0.001081241,0.0006331091,0.001010987,0.0007737583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005799806,"about_ca_system_score_gemma":0.00113959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008801502,"about_ca_topic_score_gemma":0.01056345,"domain_scores_codex":[0.998774,0.0004567611,0.0001402476,0.0001830098,0.0002249443,0.0002209995],"domain_scores_gemma":[0.994146,0.002086059,0.0009331154,0.0003153194,0.001313698,0.00120581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001695887,0.0003525976,0.9958905,0.00001217301,0.00002700943,0.0003557812,0.0001158692,0.0000517765,0.0003594803,0.00001110557,0.00006369031,0.001064238],"study_design_scores_gemma":[0.00007589312,0.003485826,0.9943737,0.00001531157,0.00007628286,0.0007317991,0.0004096132,0.0003988448,0.0001978487,0.0000160921,0.0002032464,0.00001538352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998922,0.0001778215,0.00008029754,0.00004036786,0.00001084521,0.00005738897,0.0001312999,0.000003067669,0.0005769636],"genre_scores_gemma":[0.9993698,0.00009636413,0.0001151974,0.00004341467,0.00001696046,0.00002799015,0.000199801,0.000002503782,0.0001280227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008801502,"threshold_uncertainty_score":0.01750052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06286511114803608,"score_gpt":0.3732023486682204,"score_spread":0.3103372375201843,"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."}}