{"id":"W4297385026","doi":"10.1007/s00234-022-03050-4","title":"Time dependency of automated collateral scores in computed tomography angiography and computed tomography perfusion images in patients with intracranial arterial occlusion","year":2022,"lang":"en","type":"article","venue":"Neuroradiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hartstichting; Stryker","keywords":"Neuroradiology; Medicine; Radiology; Computed tomography angiography; Interquartile range; Angiography; Collateral circulation; Interventional radiology; Perfusion scanning; Collateral; Perfusion; Nuclear medicine; Neurology; Internal medicine","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":[0.0001582238,0.0002629528,0.0006442843,0.001685137,0.00008387825,0.000009741207,0.000183653,0.00009606451,0.000116526],"category_scores_gemma":[0.000009771077,0.0002413336,0.0001202578,0.00159684,0.0002661287,0.00006930526,0.0003795386,0.0003169785,0.000001391908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003957756,"about_ca_system_score_gemma":0.00003232755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008724806,"about_ca_topic_score_gemma":0.00001070908,"domain_scores_codex":[0.9979575,0.0003054307,0.0005040796,0.0005415758,0.0003223598,0.0003690728],"domain_scores_gemma":[0.9992968,0.00008367022,0.0002013478,0.0002700679,0.0000617773,0.00008628639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003157091,0.0005983813,0.9777005,0.00005042615,0.00007066005,0.0002953782,0.0002276781,0.0002256331,0.01511709,0.000002417669,0.001995642,0.0005590543],"study_design_scores_gemma":[0.008829216,0.002607909,0.9818776,0.00005667722,0.0000683721,0.0001152807,0.00002840343,0.005971109,0.0001857154,0.000007495575,0.00006185412,0.0001903752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980476,0.0001123817,0.00001432697,0.0001399687,0.0002587826,0.001040332,0.00007684878,0.0001311972,0.0001786002],"genre_scores_gemma":[0.9983926,0.000006488714,0.0009553946,0.0002627013,0.00003509038,0.00002580279,0.000289238,0.00002905577,0.000003636388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01493137,"threshold_uncertainty_score":0.9841298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003320316236761621,"score_gpt":0.2001245325139873,"score_spread":0.1968042162772257,"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."}}