{"id":"W4296713589","doi":"10.1161/svin.122.000525","title":"Ability of Radiomics Versus Humans in Predicting First‐Pass Effect After Endovascular Treatment in the ESCAPE‐NA1 Trial","year":2022,"lang":"en","type":"article","venue":"Stroke Vascular and Interventional Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; University of Calgary","funders":"","keywords":"Medicine; Radiomics; Computed tomography angiography; Thrombus; Receiver operating characteristic; Computed tomography; Radiology; Angiography; Stroke (engine); Tomography; Set (abstract data type); Surgery; Computer science; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001137984,0.0001823457,0.0004492379,0.00023534,0.00006531019,0.000007561134,0.0001614784,0.0000633368,0.0002478652],"category_scores_gemma":[0.000128233,0.0001420855,0.0006329295,0.0001591364,0.0001153351,0.00003854006,0.0002027242,0.0003626202,0.000001104712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001209938,"about_ca_system_score_gemma":0.00002637513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000246505,"about_ca_topic_score_gemma":0.0001917512,"domain_scores_codex":[0.9977761,0.0006756012,0.0005020217,0.0004153855,0.0003786847,0.0002521882],"domain_scores_gemma":[0.9991109,0.0003541643,0.000102589,0.0003811251,0.0000156604,0.00003553096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1498822,0.004180442,0.8351838,0.0005802438,0.002263347,0.0007665256,0.001413538,0.0009510657,0.0007558978,0.0004150468,0.0004634961,0.003144376],"study_design_scores_gemma":[0.1756326,0.03040329,0.7710659,0.00004748307,0.0007777024,0.0001109404,0.000299525,0.001834439,0.0002491869,0.00005226388,0.01931362,0.0002130521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960204,0.0009208796,0.00004448538,0.000712023,0.0004029309,0.00143415,0.00004059464,0.00001191011,0.0004126057],"genre_scores_gemma":[0.9987705,0.00005795301,0.00003392502,0.0001218331,0.00008720575,0.000830046,0.00005553971,0.00001430204,0.00002871357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06411794,"threshold_uncertainty_score":0.5794079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0133506461015367,"score_gpt":0.2622464875090019,"score_spread":0.2488958414074652,"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."}}