{"id":"W3176406716","doi":"10.3171/2020.12.jns203778","title":"Rescue therapy for vasospasm following aneurysmal subarachnoid hemorrhage: a propensity score–matched analysis with machine learning","year":2021,"lang":"en","type":"article","venue":"Journal of neurosurgery","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Rescue therapy; Vasospasm; Propensity score matching; Odds; Subarachnoid haemorrhage; Clinical trial; Subarachnoid hemorrhage; Odds ratio","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":[0.02448054,0.0005545536,0.00111455,0.001544509,0.0003313247,0.0008643352,0.0007192214,0.0006392899,0.001203551],"category_scores_gemma":[0.03842831,0.0003532869,0.003358814,0.001226454,0.0004610201,0.0007780897,0.000763062,0.0009171714,0.0001396449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005102209,"about_ca_system_score_gemma":0.000850836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007279027,"about_ca_topic_score_gemma":0.0005658438,"domain_scores_codex":[0.9852762,0.01201454,0.0007521043,0.001050652,0.0007205278,0.0001860169],"domain_scores_gemma":[0.9668478,0.02499565,0.00444699,0.002703034,0.0006241904,0.0003822053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02198205,0.0008227555,0.8300797,0.0004984036,0.02289104,0.0002574692,0.0002259616,0.03668661,0.001142549,0.002684988,0.001311542,0.08141696],"study_design_scores_gemma":[0.004447526,0.01102742,0.3589568,0.0001719965,0.01571571,0.0005347516,0.0001829633,0.5922002,0.002131264,0.01134883,0.003149468,0.0001330368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481471,0.002008563,0.04772864,0.0006106391,0.00006696772,0.0003940163,0.0004552537,0.00007074403,0.0005181312],"genre_scores_gemma":[0.9945021,0.000190862,0.004745279,0.0000712242,0.00002636686,0.00009446199,0.000267965,0.000005346157,0.00009633069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02448054,"threshold_uncertainty_score":0.129467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03707099572402462,"score_gpt":0.261939417872045,"score_spread":0.2248684221480204,"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."}}