{"id":"W4360615899","doi":"10.1016/j.wnsx.2023.100178","title":"Pooled blood volume measured by final flat-panel detector computed tomography predicts outcome after endovascular thrombectomy for acute ischemic stroke","year":2023,"lang":"en","type":"article","venue":"World Neurosurgery X","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computed tomography; Flat panel detector; Medicine; Ischemic stroke; Stroke (engine); Endovascular treatment; Flat panel; Acute stroke; Volume (thermodynamics); Radiology; Cardiology; Nuclear medicine; Internal medicine; Detector; Ischemia; Physics; Aneurysm; Optics","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":[0.0005291284,0.0006880986,0.001197575,0.001031838,0.0001585297,0.00008755227,0.0003838696,0.0001743,0.0002577217],"category_scores_gemma":[0.0002440257,0.0006753989,0.001149057,0.001787761,0.0001612791,0.0001713836,0.000302222,0.0005565414,0.0001894467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000735655,"about_ca_system_score_gemma":0.00007687715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001182956,"about_ca_topic_score_gemma":0.000006043195,"domain_scores_codex":[0.9954062,0.0001010133,0.00100212,0.001181227,0.001073543,0.001235929],"domain_scores_gemma":[0.9976102,0.0003542845,0.0002824536,0.001129007,0.0001843633,0.0004396666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008190161,0.0002224361,0.1722738,0.0003055197,0.002394004,0.0008433309,0.00004539803,0.000008574472,0.3539593,0.000001401991,0.4684056,0.0007216701],"study_design_scores_gemma":[0.01249245,0.0005681685,0.2212086,0.0002822278,0.008438423,0.0002240655,0.00002759287,0.003553452,0.3144656,0.000005771043,0.4373087,0.001424997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990418,0.0005359861,0.0008446039,0.0018231,0.001401648,0.002165615,0.0006032019,0.001314573,0.000893301],"genre_scores_gemma":[0.9668366,0.00003568772,0.0008564345,0.002572594,0.0004316458,0.0008318895,0.0004874613,0.000204524,0.02774321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04893488,"threshold_uncertainty_score":0.9995697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02815760853360815,"score_gpt":0.2527861792758386,"score_spread":0.2246285707422305,"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."}}