{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003021594,0.0005304888,0.0005247518,0.001478018,0.0002458373,0.000827794,0.0004967954,0.0004652903,0.0005831823],"category_scores_gemma":[0.01035304,0.0001844067,0.0007030094,0.0005335929,0.0002496735,0.0005416743,0.0005068007,0.0006780198,0.0002338458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004887583,"about_ca_system_score_gemma":0.0006548392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001750348,"about_ca_topic_score_gemma":0.002222912,"domain_scores_codex":[0.9990851,0.000418323,0.00009573294,0.0001323734,0.000178786,0.00008966336],"domain_scores_gemma":[0.9956445,0.002354938,0.001055871,0.000184281,0.0004834505,0.0002770702],"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":[0.0002765073,0.0000904681,0.9867235,0.00001925842,0.0001153222,0.00008033594,0.00002955967,0.004552798,0.0001258831,0.00003190458,0.0002533819,0.00770116],"study_design_scores_gemma":[0.00007054726,0.0009539387,0.741559,0.00006781203,0.0002329082,0.0006421928,0.0001520987,0.2544695,0.0006858269,0.0007588777,0.0003808422,0.0000263128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961222,0.0003687874,0.002685119,0.000243846,0.00001860216,0.00002253037,0.000172796,0.00002892948,0.0003371424],"genre_scores_gemma":[0.9986065,0.00008110787,0.0009377912,0.00002171171,0.00001950994,0.00000892068,0.0002809301,0.000002041846,0.00004147214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003021594,"threshold_uncertainty_score":0.01597995,"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."}}