{"id":"W3196465487","doi":"","title":"NATURAL COURSE OF INTRACEREBRAL HAEMORRHAGE WITH ATRIAL FIBRILLATION BY ANTICOAGULATION STATUS PRE-STROKE: RESULTS FROM THE POPULATION-BASED SOUTH LONDON STROKE REGISTER AND THE ERLANGEN STROKE PROJECT","year":2021,"lang":"en","type":"article","venue":"","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Population and Public Health","funders":"","keywords":"Stroke (engine); Atrial fibrillation; Medicine; Register (sociolinguistics); Population; Medical emergency; Cardiology; Engineering; Environmental health","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":[0.001152357,0.0005645474,0.001262298,0.002389038,0.0005468553,0.001391305,0.001130105,0.001384631,0.002952042],"category_scores_gemma":[0.004493608,0.0008295407,0.00174468,0.004759442,0.0005490525,0.001818664,0.001529721,0.001065086,0.0009197141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009042387,"about_ca_system_score_gemma":0.0006465437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04710234,"about_ca_topic_score_gemma":0.05565618,"domain_scores_codex":[0.9981216,0.000467155,0.0004196873,0.000480596,0.0002862565,0.0002247676],"domain_scores_gemma":[0.9966558,0.0004553474,0.00149844,0.000492945,0.0004643172,0.0004331651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008514135,0.00003489755,0.9968674,0.00005289441,0.0003867442,0.0001720954,0.0001755227,0.00007455467,0.0001143878,0.00003487479,0.0004595857,0.0007756745],"study_design_scores_gemma":[0.00002756137,0.00004210583,0.9994306,0.00001194436,0.00005718921,0.00009271409,0.0001245912,0.00005916281,0.00001150308,0.00001627025,0.0001195368,0.000006802675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860351,0.001507211,0.00008701769,0.0001223172,0.00002211043,0.00003191858,0.01082306,0.00001438313,0.001356856],"genre_scores_gemma":[0.9880646,0.000595695,0.00007002804,0.00006164085,0.00002451508,0.00005650368,0.01026115,0.00001095397,0.0008550173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04710234,"threshold_uncertainty_score":0.09365636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01431605501820573,"score_gpt":0.2759102736798092,"score_spread":0.2615942186616035,"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."}}