{"id":"W2330940519","doi":"10.3995/jstroke.27.633","title":"Extremely early CT signs in hyperacute ischemic stroke","year":2005,"lang":"sl","type":"article","venue":"Nosotchu","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Radiology; Ischemic stroke; Computed tomography; Cardiology; Ischemia","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":[0.0008395007,0.0004126925,0.0004375033,0.002992173,0.0003907711,0.0006770855,0.0003725581,0.0006947619,0.003502547],"category_scores_gemma":[0.005042487,0.0002688125,0.0003498813,0.001227879,0.0006027059,0.001264769,0.0006241347,0.0009549619,0.0003371001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000599687,"about_ca_system_score_gemma":0.0006582123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003836908,"about_ca_topic_score_gemma":0.004208446,"domain_scores_codex":[0.9995424,0.0001721783,0.00008156749,0.00002985558,0.0000832569,0.00009078612],"domain_scores_gemma":[0.998092,0.0006378032,0.0006050694,0.00006158761,0.0002235365,0.0003799609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00315864,0.0001700693,0.9244409,0.0003251168,0.0001097267,0.02656176,0.0003415442,0.0006713844,0.002638775,0.000692319,0.001918271,0.03897145],"study_design_scores_gemma":[0.0000622586,0.0003546652,0.9643282,0.000204343,0.00008339262,0.03119588,0.0004556242,0.0007159897,0.000620439,0.0009042891,0.001042928,0.0000321269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702537,0.009984046,0.0009351295,0.001131685,0.0001126862,0.0001467879,0.0003080353,0.0000220903,0.01710592],"genre_scores_gemma":[0.9958612,0.002240479,0.0003734192,0.0001215428,0.0001528439,0.00002395623,0.0002773103,0.000004006169,0.0009453599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003836908,"threshold_uncertainty_score":0.0117172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02011576284625678,"score_gpt":0.2622972287181546,"score_spread":0.2421814658718979,"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."}}