{"id":"W4210719491","doi":"10.1161/str.53.suppl_1.tp56","title":"Abstract TP56: Low Cost, Portable Electroencephalograph May Improve The Accuracy Of Prehospital Stroke Diagnosis And Detection Of Large Vessel Occlusion","year":2022,"lang":"en","type":"article","venue":"Stroke","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Alberta","funders":"","keywords":"Medicine; Stroke (engine); Electroencephalography; Occlusion; Cardiology; Acute stroke; Perfusion scanning; Radiology; Emergency department; Internal medicine; Perfusion","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":[0.00049209,0.0005303513,0.0003994739,0.0003248215,0.00009950688,0.0003894353,0.0002581479,0.0003249748,0.007895562],"category_scores_gemma":[0.003068839,0.00008862712,0.0001798633,0.000281811,0.0001297571,0.0004129796,0.000272691,0.0003403729,0.001930199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001608641,"about_ca_system_score_gemma":0.0001332357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004477183,"about_ca_topic_score_gemma":0.0007211964,"domain_scores_codex":[0.9997329,0.00009507265,0.00003852453,0.00005052522,0.00005791242,0.00002509341],"domain_scores_gemma":[0.9990252,0.0003832288,0.0002337483,0.00007861354,0.0001724522,0.0001066555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01117514,0.001243982,0.4773547,0.0004658843,0.0002381137,0.001358012,0.0001014895,0.001077414,0.02117703,0.000169603,0.01215089,0.4734878],"study_design_scores_gemma":[0.0008634173,0.005623529,0.9726655,0.0001171601,0.0001943626,0.003609555,0.0001141592,0.005159013,0.007212096,0.0003480327,0.004061052,0.00003209976],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778363,0.001975736,0.007418765,0.001426936,0.0002741839,0.0003443818,0.001532069,0.0003702099,0.008821405],"genre_scores_gemma":[0.9928087,0.0005511969,0.003390014,0.0002407208,0.000246039,0.0001223005,0.0006048789,0.0000159275,0.002020302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007895562,"threshold_uncertainty_score":0.02641326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104235122126232,"score_gpt":0.2591915812621567,"score_spread":0.2481492300408944,"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."}}