{"id":"W2016854470","doi":"10.1136/jnnp.2004.044347","title":"Predictors of good outcome in medium to large spontaneous supratentorial intracerebral haemorrhages","year":2005,"lang":"en","type":"article","venue":"Journal of Neurology Neurosurgery & Psychiatry","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Confidence interval; Odds ratio; Modified Rankin Scale; Logistic regression; Fibrinogen; Internal medicine; Stroke (engine); Intracerebral hemorrhage; Surgery; Cardiology; Glasgow Coma Scale; Ischemic stroke","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001494775,0.0003517965,0.001251593,0.001179866,0.00007055497,0.00002233675,0.0004041218,0.0003654925,0.0003472356],"category_scores_gemma":[0.0008899152,0.0002891056,0.0004776751,0.000679119,0.0001238544,0.0002473525,0.0001197574,0.002029167,0.00004415667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006015394,"about_ca_system_score_gemma":0.0006468314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001014937,"about_ca_topic_score_gemma":0.00009078058,"domain_scores_codex":[0.9952632,0.0003905124,0.002085375,0.0004175624,0.0009383053,0.0009050175],"domain_scores_gemma":[0.9977052,0.000365397,0.0006151941,0.0004310357,0.0003199252,0.0005632685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007164445,0.001525363,0.9676045,0.0001510238,0.0000779734,0.006914893,0.0001427051,0.0001624653,0.00715282,0.0001265301,0.007475677,0.001501641],"study_design_scores_gemma":[0.005754607,0.007234644,0.9367285,0.0001040215,0.0002384084,0.0379881,0.0000882969,0.001142799,0.001777757,0.00009162966,0.00846146,0.0003897609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445859,0.0003151708,0.00003060822,0.04480242,0.009586916,0.0003695487,0.00002318807,0.00002900243,0.000257311],"genre_scores_gemma":[0.9885909,0.00006400198,0.000919635,0.005360168,0.004705035,0.000006061847,0.000004167646,0.00006205007,0.0002879889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04400506,"threshold_uncertainty_score":0.9999561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457093446239522,"score_gpt":0.2905693731545756,"score_spread":0.2759984386921804,"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."}}