{"id":"W4411921002","doi":"10.4103/jasi.jasi_102_25","title":"The Anatomical Basis of Cerebral Stroke: Leveraging Artificial Intelligence for Enhanced Detection and Diagnosis","year":2025,"lang":"en","type":"article","venue":"Journal of Anatomical Society of India","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Basis (linear algebra); Computer science; Artificial intelligence; Stroke (engine); Medicine; Physical medicine and rehabilitation; Neuroscience; Psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006684262,0.0001178982,0.00041952,0.0000852001,0.0001001523,0.00001781058,0.0001598878,0.0001249759,0.00001263231],"category_scores_gemma":[0.0003872615,0.00008549317,0.0004552795,0.0002124105,0.0002667711,0.00006849816,0.00008257976,0.0003173038,2.107413e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001523482,"about_ca_system_score_gemma":0.0001143963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001287932,"about_ca_topic_score_gemma":0.000002596343,"domain_scores_codex":[0.9985611,0.00003041786,0.0007790336,0.0001409979,0.0002933003,0.0001951438],"domain_scores_gemma":[0.9983932,0.0006573831,0.0004698861,0.0001297858,0.0002701032,0.00007960834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002846583,0.0006447818,0.04027989,0.000920805,0.003502588,0.000004716764,0.002265389,0.00004320539,0.2812609,0.002309487,0.0191489,0.6467727],"study_design_scores_gemma":[0.0008318663,0.0002949929,0.0158607,0.0002437547,0.0003824004,0.000008854814,0.003572045,0.003524053,0.9725663,0.001211365,0.001415917,0.00008771804],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9500409,0.0004649054,0.04546997,0.003434773,0.0001932473,0.0002648438,0.000008839003,0.00000537541,0.0001171154],"genre_scores_gemma":[0.9925199,0.0006105711,0.006485634,0.0002236904,0.0001115476,0.000008425868,7.979657e-7,0.000008657486,0.0000307484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6913054,"threshold_uncertainty_score":0.348631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467717957371356,"score_gpt":0.2853231223020696,"score_spread":0.2706459427283561,"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."}}