{"id":"W4406395540","doi":"10.1161/svin.04.suppl_1.030","title":"Abstract 030: Novel CT‐based Biomarkers for Patients with Anterior Circulation Stroke and Large Infarct Core","year":2024,"lang":"en","type":"article","venue":"Stroke Vascular and Interventional Neurology","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Core (optical fiber); Circulation (fluid dynamics); Cardiology; Internal medicine; Radiology; Computer science; Engineering","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":[0.000608696,0.0008142766,0.0005913108,0.001086919,0.0002358199,0.0009658943,0.0004211684,0.0006264329,0.00150205],"category_scores_gemma":[0.00159272,0.0001816878,0.000377848,0.0007158383,0.0002076577,0.0005843847,0.0003985015,0.0003967421,0.0006151561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004270206,"about_ca_system_score_gemma":0.0004559622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00119643,"about_ca_topic_score_gemma":0.001957417,"domain_scores_codex":[0.9997504,0.00005499159,0.00003312161,0.00005441273,0.00007489433,0.000032143],"domain_scores_gemma":[0.9994441,0.0001271839,0.0001665617,0.00002293704,0.0001385043,0.0001006845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004496553,0.0005343438,0.9236906,0.0001893443,0.0002900657,0.0003001609,0.00007297745,0.002140738,0.01110417,0.0002622376,0.001827973,0.05509083],"study_design_scores_gemma":[0.0003543356,0.003040594,0.9589438,0.00004715935,0.000369158,0.001412613,0.0001064338,0.02106584,0.01160508,0.0005882132,0.002407164,0.00005973485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990204,0.001571768,0.003212532,0.0002297095,0.00005564199,0.0001761865,0.001708081,0.0001528858,0.002689336],"genre_scores_gemma":[0.9887674,0.0003185816,0.00717843,0.0001251658,0.00006415992,0.0001648119,0.002175005,0.0000159996,0.001190426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00150205,"threshold_uncertainty_score":0.005024791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126403283565401,"score_gpt":0.2559354827004248,"score_spread":0.2446714498647708,"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."}}