{"id":"W4404656137","doi":"10.1016/j.wneu.2024.11.038","title":"Prediction of Symptomatic Intracranial Hemorrhage Before Mechanical Thrombectomy Using Machine Learning in Patients with Anterior Circulation Large Vessel Occlusion","year":2024,"lang":"en","type":"article","venue":"World Neurosurgery","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Occlusion; Circulation (fluid dynamics); Surgery; Radiology; Cardiology","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":[0.0004912862,0.0002036034,0.0004521444,0.0006868828,0.000109815,0.00004194596,0.0000611949,0.00009105062,0.0001750097],"category_scores_gemma":[0.0001467528,0.0001588996,0.0001130561,0.001062181,0.00004585385,0.000259736,0.00007683868,0.0006734514,0.000008814653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001426588,"about_ca_system_score_gemma":0.0001143194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003133917,"about_ca_topic_score_gemma":0.00003299704,"domain_scores_codex":[0.997904,0.0001369831,0.0005675139,0.0003831409,0.0006147273,0.0003936161],"domain_scores_gemma":[0.9993958,0.0001190835,0.00009873322,0.0001945774,0.00008970343,0.0001020482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000550639,0.0004479754,0.9522873,0.00139687,0.00002611796,0.000802727,0.0001619702,0.00007741562,0.0355514,0.0000444501,0.000008271229,0.008644924],"study_design_scores_gemma":[0.0009536988,0.0002281197,0.3989604,0.0007243885,0.0000510176,0.0001255414,0.00000876151,0.5977464,0.00108917,0.00001721935,0.000009168421,0.00008611114],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997819,0.0001198574,0.0007520661,0.0002127272,0.0003535417,0.0005173188,0.00003351734,0.0001545137,0.00003745517],"genre_scores_gemma":[0.9989614,0.000007051556,0.000576206,0.00006723886,0.0001289749,0.000007905455,0.00009904403,0.00005516448,0.00009698528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5976689,"threshold_uncertainty_score":0.6479737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445393978717274,"score_gpt":0.252443713625246,"score_spread":0.2379897738380733,"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."}}