{"id":"W4417305340","doi":"10.1159/000548960","title":"Ischemic Stroke Management in India: Insights from the Indian Registry of Stroke Care Quality","year":2025,"lang":"en","type":"article","venue":"Cerebrovascular Diseases","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"","keywords":"Quality management; Stroke (engine); Ischemic stroke; Quality (philosophy); Health care; MEDLINE; Quality assessment","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":[0.002338554,0.0002643918,0.0004008283,0.004284349,0.0006608281,0.002525701,0.001138794,0.0002983228,0.001614659],"category_scores_gemma":[0.009128294,0.0002432414,0.0006456354,0.01447465,0.0004782015,0.0009069467,0.002139953,0.0007644679,0.0005275918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002000995,"about_ca_system_score_gemma":0.004035974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07397422,"about_ca_topic_score_gemma":0.06828133,"domain_scores_codex":[0.9972526,0.0007782703,0.0004987094,0.0003290216,0.0006203581,0.0005210103],"domain_scores_gemma":[0.9863875,0.002471132,0.005414656,0.001573718,0.002988829,0.001164236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000521615,0.00004573899,0.98142,0.0001466691,0.00009454392,0.0001045256,0.0007554027,0.0001863022,0.00004539486,0.0003879451,0.006791685,0.009969596],"study_design_scores_gemma":[0.000004550068,0.00002087906,0.9966497,0.00006695222,0.00003142722,0.000130555,0.0006493535,0.0001788787,0.00003409884,0.00009504257,0.002126424,0.00001218321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8888882,0.002273413,0.00100174,0.005232338,0.00009630274,0.0002319779,0.08726822,0.0001551671,0.01485262],"genre_scores_gemma":[0.9662185,0.001275353,0.001121069,0.0006220941,0.0001250723,0.0002291515,0.02999936,0.00003449984,0.0003749511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07397422,"threshold_uncertainty_score":0.1470873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007443248916224709,"score_gpt":0.258479583694243,"score_spread":0.2510363347780182,"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."}}