{"id":"W4408759907","doi":"10.5566/ias.3442","title":"CEREBROVASCULAR ATLAS FROM MRA IMAGING OF 1336 SUBJECTS","year":2025,"lang":"en","type":"article","venue":"Image Analysis & Stereology","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Atlas (anatomy); Computer science; Geology; Paleontology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001731427,0.0002407265,0.001040767,0.0007598136,0.00006142407,0.00002321915,0.000213016,0.00008279792,0.001746135],"category_scores_gemma":[0.0001180015,0.0002180939,0.001415033,0.001201467,0.0003322425,0.0001146244,0.0001482258,0.0001595406,0.00006059823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004645547,"about_ca_system_score_gemma":0.0001274623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015453,"about_ca_topic_score_gemma":0.0003134484,"domain_scores_codex":[0.9981297,0.000181924,0.0005276743,0.0005547189,0.0002698685,0.0003361629],"domain_scores_gemma":[0.9982945,0.0001322395,0.0001357732,0.00104545,0.0002639846,0.0001280054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006423649,0.0002294625,0.977823,0.00007860685,0.008766386,0.00002887381,0.000169971,0.00001735286,0.009028565,0.0001347487,0.0009812318,0.002677517],"study_design_scores_gemma":[0.002584145,0.00004554899,0.9520792,0.00007029661,0.02005798,0.00001064229,0.0007074162,0.001137389,0.02066601,0.0003998337,0.002010282,0.0002312374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760116,0.001593282,0.01129578,0.0007503929,0.0001191905,0.0002334175,0.00003506367,0.00007360406,0.009887619],"genre_scores_gemma":[0.9972037,0.00009178933,0.0005657514,0.00100943,0.00008183128,0.00001754306,0.0003135244,0.00001717891,0.000699238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02574383,"threshold_uncertainty_score":0.9991664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003977232463380562,"score_gpt":0.255078848885204,"score_spread":0.2511016164218234,"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."}}