{"id":"W4392461923","doi":"10.1161/svin.03.suppl_2.080","title":"Abstract 080: Continuous Automated Stroke Screening Software for Early Detection of Neurological Impairment","year":2023,"lang":"en","type":"article","venue":"Stroke Vascular and Interventional Neurology","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Stroke (engine); Medicine; Computer science; Physical medicine and rehabilitation; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000373937,0.0001613134,0.0002423857,0.0002647136,0.0001837275,0.00003724089,0.0001570399,0.0001408733,0.00005784386],"category_scores_gemma":[0.0006443108,0.0001551253,0.0003651171,0.0002489171,0.0001709342,0.0001210422,0.00008265057,0.0002381516,0.00001827955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006171591,"about_ca_system_score_gemma":0.00001260223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001525593,"about_ca_topic_score_gemma":0.000006965926,"domain_scores_codex":[0.9982842,0.0002008455,0.0004331747,0.0005241114,0.000253616,0.0003040429],"domain_scores_gemma":[0.9990807,0.0003610239,0.0002118129,0.0001785832,0.00008654136,0.00008139349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001454657,0.0004967029,0.01782073,0.0002348435,0.0001274024,0.000044954,0.00007790982,0.0005276395,0.9448627,0.001127964,0.0004892366,0.0327353],"study_design_scores_gemma":[0.001856969,0.003855282,0.9095713,0.00001630894,0.00003914204,0.00007915457,0.00001871092,0.0248557,0.05700928,0.0003741021,0.00214228,0.0001818002],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877957,0.00003108648,0.01017249,0.0004180565,0.0004204967,0.0004193318,0.0001494277,0.0005576908,0.00003572198],"genre_scores_gemma":[0.9992759,0.00002167736,0.0001084223,0.0002482331,0.00005470754,0.0001105929,0.00002012816,0.00002180828,0.0001385293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8917505,"threshold_uncertainty_score":0.6325827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03006026095084808,"score_gpt":0.2776621543018273,"score_spread":0.2476018933509793,"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."}}