{"id":"W7113902569","doi":"10.1016/j.bspc.2025.109323","title":"Automated ischemic stroke prediction from Alberta stroke Program Early CT scores utilizing optimized progressive cyclical convolutional neural network on CT scans","year":2025,"lang":"en","type":"article","venue":"Biomedical Signal Processing and Control","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Stroke (engine); Ischemic stroke; Artificial neural network","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000282594,0.0004679826,0.0007716868,0.0002047289,0.0003717657,0.0001867294,0.000230607,0.0001772021,0.000113585],"category_scores_gemma":[0.0002093957,0.0003727062,0.0001782335,0.0004411149,0.0006390027,0.0001525519,0.0001226398,0.0006878321,0.000009186011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001609718,"about_ca_system_score_gemma":0.0003426233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002369456,"about_ca_topic_score_gemma":0.000003137156,"domain_scores_codex":[0.9965404,0.000120098,0.0007428129,0.0008814745,0.0009076779,0.0008074868],"domain_scores_gemma":[0.9984442,0.000422867,0.0002688867,0.0002469059,0.000153129,0.0004639982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01257107,0.002957213,0.09505354,0.000797371,0.003650968,0.0007726358,0.0001937509,0.0005140703,0.03403559,0.0001287329,0.1136488,0.7356763],"study_design_scores_gemma":[0.02016822,0.001402789,0.03309231,0.002321807,0.001437476,0.0000964357,0.0001694007,0.9183099,0.0009324565,0.00002591153,0.02156473,0.0004785612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675704,0.004668321,0.0107186,0.005856805,0.0005115299,0.00295756,0.0003667825,0.001716056,0.005633988],"genre_scores_gemma":[0.993895,0.00001820929,0.002098171,0.001366323,0.0007959582,0.0004548372,0.00038294,0.00003858528,0.000949975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9177958,"threshold_uncertainty_score":0.9998725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008794532520897637,"score_gpt":0.2642215538964827,"score_spread":0.2554270213755851,"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."}}