{"id":"W3049362923","doi":"","title":"급성 두통환자의 거미막밑출혈 예측을 위한 호중구/림프구 비율 및 임상 예측 지표방법의 유용성","year":2018,"lang":"ko","type":"article","venue":"대한응급의학회지","topic":"Neurosurgical Procedures and Complications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Clinical prediction rule; Receiver operating characteristic; Subarachnoid haemorrhage; Subarachnoid hemorrhage; Blood pressure; Emergency department; Internal medicine; Anesthesia; Surgery","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":[0.0002604515,0.000503755,0.0006621078,0.0001577819,0.0005376741,0.000122804,0.0006091006,0.0003146415,0.00857418],"category_scores_gemma":[0.0003064125,0.0004396249,0.0003425061,0.0007119218,0.0005839416,0.0001489008,0.0003046669,0.0006950487,0.0113123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001058153,"about_ca_system_score_gemma":0.0002592621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001446283,"about_ca_topic_score_gemma":0.00005610014,"domain_scores_codex":[0.9965294,0.0001074428,0.0007672037,0.0009752442,0.0006315857,0.00098911],"domain_scores_gemma":[0.9970182,0.0002073361,0.0002443566,0.001425025,0.0003916443,0.0007134303],"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":[0.001317502,0.004217545,0.03429701,0.001212664,0.0007127392,0.0006041086,0.002416773,0.000009083044,0.09423928,0.1341975,0.6812283,0.04554746],"study_design_scores_gemma":[0.003563232,0.002170901,0.1240786,0.0006179031,0.0005524326,0.0004097331,0.0002769865,0.001647191,0.004465015,0.01190614,0.8492628,0.001049038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6991451,0.004991508,0.001080436,0.04950103,0.004443193,0.001991942,0.000185728,0.0007209217,0.2379401],"genre_scores_gemma":[0.9557438,0.0004516976,0.0002936019,0.007666497,0.004021503,0.00007215559,0.00004603569,0.0001005918,0.03160413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2565986,"threshold_uncertainty_score":0.9998056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02738397035837124,"score_gpt":0.3107075809196771,"score_spread":0.2833236105613058,"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."}}