{"id":"W2410072534","doi":"","title":"Analysis of hospital-based stroke registry in a neurological centre in Kolkata.","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Subarachnoid haemorrhage; Incidence (geometry); West bengal; Pediatrics; Medical record; Population; Subarachnoid hemorrhage; Emergency medicine; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007602757,0.0002530982,0.0004175171,0.002230116,0.0006964504,0.0007894367,0.0007561647,0.000261719,0.001804708],"category_scores_gemma":[0.002585982,0.000434998,0.0003397302,0.004689523,0.0002711841,0.0004296508,0.00095128,0.0003697319,0.0006129485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00242071,"about_ca_system_score_gemma":0.002647991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09385356,"about_ca_topic_score_gemma":0.1383782,"domain_scores_codex":[0.9991032,0.0001675548,0.000188234,0.0001456038,0.0001834756,0.0002121163],"domain_scores_gemma":[0.997641,0.0003793479,0.0009486915,0.0002567071,0.0005016486,0.0002726582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004245294,0.00001569755,0.9980463,0.00003773833,0.0000452965,0.0002969191,0.000185725,0.00003901649,0.0001429979,0.00002110253,0.0002991223,0.0008276646],"study_design_scores_gemma":[0.000005135882,0.0000264839,0.9986785,0.0000139846,0.00002461528,0.0003988465,0.0004460056,0.00007065149,0.00006798992,0.000007854203,0.0002551275,0.000004786721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925503,0.0001834198,0.0001134313,0.00007127959,0.000006069,0.00006969895,0.00635375,0.00001340762,0.0006387037],"genre_scores_gemma":[0.9921257,0.000280023,0.000180995,0.0001029284,0.000008297496,0.0001025413,0.006916018,0.000004370201,0.0002789565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09385356,"threshold_uncertainty_score":0.1866146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079830498916909,"score_gpt":0.2190628233757555,"score_spread":0.2082645183865864,"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."}}