{"id":"W4387130154","doi":"10.24875/rmn.23000031","title":"Correlation between dual-phase CTA-SI ASPECTS and automated CT perfusion imaging in patients with acute ischemic stroke beyond the 6-hour window","year":2023,"lang":"en","type":"article","venue":"Revista de Fomento Social","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Clínica Alemana de Santiago","keywords":"Medicine; Perfusion scanning; Window (computing); Stroke (engine); Perfusion; Correlation; Radiology; Cardiology; Ischemic stroke; Therapeutic window; Internal medicine; Ischemia; Computer science; Engineering; Mathematics","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":[0.0004505711,0.0002023107,0.0001674219,0.0007578189,0.000129873,0.0004317904,0.0001896899,0.0003744701,0.001489537],"category_scores_gemma":[0.004068557,0.0001388749,0.0001591844,0.0004845104,0.0001638758,0.0003277258,0.0002697046,0.0003461524,0.0002628075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000163938,"about_ca_system_score_gemma":0.0002143166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009031813,"about_ca_topic_score_gemma":0.001132389,"domain_scores_codex":[0.9997651,0.00004539614,0.00004009853,0.0000544801,0.00005587065,0.00003907772],"domain_scores_gemma":[0.9976583,0.0007290907,0.0009013515,0.0001076941,0.0003219076,0.0002816178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001773964,0.0000151668,0.9984016,0.00000341084,0.000009728335,0.0001034341,0.00001866077,0.00005837185,0.0003036443,0.00000695952,0.00003022389,0.0008714064],"study_design_scores_gemma":[0.000006474054,0.0001563772,0.9983078,0.000003062384,0.00001235112,0.0006538697,0.00004980157,0.0005599523,0.0001686148,0.00001763597,0.00006149391,0.000002534594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994414,0.00005345472,0.0001127362,0.00001480887,0.000002269834,0.000004867346,0.00008382784,0.000003903135,0.0002825641],"genre_scores_gemma":[0.9996601,0.00002040865,0.0001099024,0.000005238018,0.000005834477,0.000004140489,0.0001462234,0.000001450467,0.00004672069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001489537,"threshold_uncertainty_score":0.004983068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007913037684254463,"score_gpt":0.2731625307034654,"score_spread":0.2652494930192109,"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."}}