{"id":"W2946683331","doi":"10.1007/s12028-019-00740-5","title":"Independent Validation of the Hematoma Expansion Prediction Score: A Non-contrast Score Equivalent in Accuracy to the Spot Sign","year":2019,"lang":"en","type":"article","venue":"Neurocritical Care","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Health Sciences Centre; Dalhousie University; University of Toronto; Sunnybrook Health Science Centre; Hôpital Charles-Le Moyne; University of Calgary; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Confidence interval; Hematoma; Intracerebral hemorrhage; Receiver operating characteristic; Neuroradiology; Logistic regression; Computed tomography angiography; Odds ratio; Youden's J statistic; Area under the curve; Radiology; Likelihood ratios in diagnostic testing; Internal medicine; Computed tomography; Glasgow Coma Scale; Surgery; Neurology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01150132,0.00117561,0.0009805957,0.001753042,0.0005449664,0.001351004,0.001076465,0.001736755,0.002168446],"category_scores_gemma":[0.02778151,0.0003750238,0.0009328515,0.0007026035,0.001522212,0.001461782,0.001248505,0.000989165,0.001561586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004107981,"about_ca_system_score_gemma":0.0008892175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001023657,"about_ca_topic_score_gemma":0.001582664,"domain_scores_codex":[0.99523,0.001708832,0.0003935594,0.0009600248,0.00144481,0.0002629288],"domain_scores_gemma":[0.9746559,0.01070628,0.002083407,0.004119756,0.007246875,0.001187845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01233815,0.001549067,0.9046185,0.0002181342,0.0010679,0.0003972202,0.0006495437,0.002656463,0.02674683,0.000729532,0.00217311,0.04685567],"study_design_scores_gemma":[0.001384139,0.005548517,0.916469,0.0001040548,0.0009179511,0.002498355,0.0003626331,0.04198064,0.02522293,0.001137287,0.004239769,0.0001347722],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870089,0.0003973683,0.008532884,0.00008321741,0.0001868648,0.0002750747,0.0008544492,0.000129365,0.002531983],"genre_scores_gemma":[0.9939756,0.00009682563,0.003770317,0.00007524445,0.00007367125,0.0001310199,0.001205458,0.00004989178,0.0006219982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01150132,"threshold_uncertainty_score":0.06082559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02203561238930267,"score_gpt":0.292782970613773,"score_spread":0.2707473582244703,"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."}}