{"id":"W3026894109","doi":"10.1016/j.nrleng.2020.05.001","title":"Incidence, prognosis, and prediction of haemorrhagic transformation after revascularisation for stroke","year":2020,"lang":"en","type":"article","venue":"Neurología (English Edition)","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Modified Rankin Scale; Logistic regression; Stroke (engine); Internal medicine; Incidence (geometry); Occlusion; Complication; Retrospective cohort study; Surgery; Cardiology; Ischemic stroke; Ischemia","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":[0.0001701577,0.0001263812,0.0002197978,0.00008844875,0.00004072248,0.00001355762,0.00005013275,0.00009127609,0.00004938273],"category_scores_gemma":[0.0004158298,0.0001238366,0.00009277614,0.0001286705,0.00006891401,0.0003541947,0.00002507599,0.0001702272,0.00000272334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002099166,"about_ca_system_score_gemma":0.00002815365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002227323,"about_ca_topic_score_gemma":0.000001106705,"domain_scores_codex":[0.9988983,0.00002835992,0.0003497018,0.0002720895,0.0002874477,0.0001641014],"domain_scores_gemma":[0.9993483,0.00005371778,0.0001166801,0.0001259584,0.0002606196,0.0000947525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0124274,0.001330713,0.5174551,0.01153611,0.001257033,0.0001033921,0.02233663,0.0002821946,0.04174635,0.002419162,0.3305732,0.05853268],"study_design_scores_gemma":[0.01366665,0.006911313,0.6867449,0.0002418061,0.002635329,0.00007630315,0.001359054,0.0310471,0.04250709,0.0002977799,0.213973,0.0005396281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640638,0.0001251718,0.02392629,0.006369635,0.0006143872,0.002284061,0.0003665578,0.000194752,0.00205535],"genre_scores_gemma":[0.9948246,0.0000726306,0.001329028,0.001993898,0.001011506,0.000393924,0.0003257464,0.00001812376,0.00003054076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1692898,"threshold_uncertainty_score":0.5049908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419997176133085,"score_gpt":0.2222359303495698,"score_spread":0.208035958588239,"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."}}