{"id":"W2344947460","doi":"10.1002/ana.24675","title":"Prognostication of long‐term outcomes after subarachnoid hemorrhage: The FRESH score","year":2016,"lang":"en","type":"article","venue":"Annals of Neurology","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft; Physicians' Services Incorporated Foundation; Brain Aneurysm Foundation","keywords":"Medicine; Subarachnoid hemorrhage; Quality of life (healthcare); Modified Rankin Scale; Area under the curve; Receiver operating characteristic; Cognition; Population; Internal medicine; Intracerebral hemorrhage; Bootstrapping (finance); Physical therapy; Psychiatry; Ischemic stroke","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006575783,0.00009540511,0.0002061334,0.00005737799,0.00002918979,0.000002167403,0.0001231198,0.00006203527,0.0001734869],"category_scores_gemma":[0.0001230807,0.00004725627,0.00009966554,0.00008520004,0.0002235855,0.00003979175,0.00003339036,0.00006901679,0.00004197544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001557026,"about_ca_system_score_gemma":0.00002372749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009298908,"about_ca_topic_score_gemma":0.00001334272,"domain_scores_codex":[0.9992789,0.00004481707,0.0002430441,0.0001618246,0.0001139115,0.0001575035],"domain_scores_gemma":[0.9990531,0.0001951353,0.0001238162,0.0004015504,0.0001877855,0.00003866058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004852166,0.0003296538,0.9727517,0.00005008292,0.00003000121,0.0000662992,0.00005197233,1.16226e-7,0.008890926,0.00101165,0.0001990761,0.01613329],"study_design_scores_gemma":[0.0004054516,0.0006456709,0.9859349,0.000007483909,0.00008184651,0.0001138115,0.00000149496,0.000005757625,0.01199067,0.0007052225,0.00006742498,0.00004027273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9276037,0.0001369832,0.00009236998,0.07139873,0.00005434327,0.0003116865,0.00001869025,0.00002015897,0.0003633842],"genre_scores_gemma":[0.9964105,0.00002973538,0.00003766035,0.003065214,0.00005099324,0.00007084108,0.000007973084,0.0000103877,0.0003166241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06880692,"threshold_uncertainty_score":0.1927055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05011947374786557,"score_gpt":0.3125511748065682,"score_spread":0.2624317010587026,"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."}}