{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006684815,0.0003602264,0.0004238738,0.002654258,0.0004285343,0.0006169563,0.0003804115,0.0003612739,0.003236465],"category_scores_gemma":[0.001792512,0.0002274535,0.0003947575,0.002133525,0.0002041656,0.0003240807,0.0003792414,0.0001990366,0.001565605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002935819,"about_ca_system_score_gemma":0.0006261825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007415537,"about_ca_topic_score_gemma":0.01178891,"domain_scores_codex":[0.9996967,0.00004704414,0.00003641764,0.0001343023,0.00005934619,0.00002617307],"domain_scores_gemma":[0.9994234,0.0001181404,0.0001130271,0.0001725889,0.0001409445,0.00003195463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001693654,0.0003120102,0.4833848,0.0009712441,0.000759387,0.00332713,0.001891441,0.009203414,0.04804819,0.00475246,0.03988605,0.4057702],"study_design_scores_gemma":[0.00004389376,0.000208714,0.9324206,0.0000793855,0.000331758,0.008212275,0.0005505372,0.01114702,0.00640846,0.00323978,0.03726088,0.00009668381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9069375,0.00142129,0.03814515,0.0001518944,0.00005759465,0.0001908784,0.04373448,0.00161406,0.007747033],"genre_scores_gemma":[0.9084935,0.0009435688,0.03340088,0.00009073694,0.0001234187,0.0003089504,0.05392579,0.0002411635,0.002471945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007415537,"threshold_uncertainty_score":0.01474476,"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."}}