{"id":"W4400378261","doi":"10.1159/000540217","title":"Quantitative Assessment of Acute Intracranial Clot and Collaterals on High-Resolution Magnetic Resonance Imaging","year":2024,"lang":"en","type":"article","venue":"Cerebrovascular Diseases","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Magnetic resonance imaging; Radiology; Acute stroke; Internal medicine; Tissue plasminogen activator","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":[0.0001235901,0.0001939679,0.0003329468,0.0001688695,0.00005026304,0.00004873479,0.00007642495,0.00003500259,0.0001471226],"category_scores_gemma":[0.00004307714,0.0001668593,0.0001626577,0.0002201747,0.0001535307,0.00009985317,0.0000928635,0.0001171908,0.0000158925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001192691,"about_ca_system_score_gemma":0.00009280603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003437894,"about_ca_topic_score_gemma":0.000001061869,"domain_scores_codex":[0.9985831,0.00005780798,0.0002679367,0.0004444361,0.0004232054,0.0002235576],"domain_scores_gemma":[0.9993348,0.00008870846,0.00004666676,0.0003350686,0.00007202333,0.0001227981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003664568,0.003001079,0.2067056,0.008603027,0.008731977,0.0041022,0.001414366,0.0003072911,0.09419869,0.05031047,0.1317318,0.4872289],"study_design_scores_gemma":[0.003383528,0.001161301,0.9333246,0.001676589,0.003999738,0.00008168327,0.0002056002,0.03366918,0.001367891,0.0003914925,0.02034616,0.0003921741],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608598,0.03277558,0.001814221,0.001634237,0.0003398174,0.0008490059,0.0002562835,0.0001566891,0.001314332],"genre_scores_gemma":[0.9928443,0.001375915,0.004844233,0.0002422949,0.00008306828,0.00005349373,0.00008577269,0.00003633414,0.0004345246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7266191,"threshold_uncertainty_score":0.6804327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007988567516538902,"score_gpt":0.2816959332205262,"score_spread":0.2737073657039872,"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."}}