{"id":"W2558092854","doi":"10.1177/1747493016681020","title":"e-ASPECTS software is non-inferior to neuroradiologists in applying the ASPECT score to computed tomography scans of acute ischemic stroke patients","year":2016,"lang":"en","type":"article","venue":"International Journal of Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":217,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Manitoba","funders":"National Institute for Health and Care Research","keywords":"Medicine; Computed tomography; Stroke (engine); Radiology; Ischemic stroke; Multidetector computed tomography; Acute stroke; Cardiology; Ischemia; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002633864,0.0002327322,0.0004724052,0.0008266404,0.00002792155,0.00002935533,0.0008503678,0.00006758757,0.00007674643],"category_scores_gemma":[0.0002525878,0.0001435577,0.0002904419,0.000313785,0.00008781271,0.0001503875,0.0003163726,0.0002826822,0.00001863241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002934887,"about_ca_system_score_gemma":0.0001096399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003348621,"about_ca_topic_score_gemma":0.000007953848,"domain_scores_codex":[0.9975044,0.00003136541,0.0008172095,0.0002756242,0.001069135,0.0003022669],"domain_scores_gemma":[0.9980144,0.0001688689,0.0004997616,0.0003028024,0.0008088043,0.0002053498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00123464,0.0002699725,0.800989,0.00002268824,0.001329356,0.0002738231,0.0004136327,0.00006599222,0.1389852,0.00002216885,0.0289428,0.02745076],"study_design_scores_gemma":[0.005718042,0.00132122,0.8941928,0.001259924,0.0002308286,0.0001969591,0.0001420777,0.00004314839,0.08420519,0.00001792678,0.01241469,0.0002572251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800758,0.0000319994,0.0118156,0.005138006,0.0007946673,0.0007442997,0.0002726245,0.00001664105,0.001110388],"genre_scores_gemma":[0.9928874,0.0000301938,0.004336764,0.002101908,0.0003165203,0.00003369609,0.000005965549,0.00002679953,0.0002607977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09320378,"threshold_uncertainty_score":0.5854112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275315617752595,"score_gpt":0.2676567500391591,"score_spread":0.2549035938616331,"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."}}