{"id":"W2089464900","doi":"10.1097/rli.0b013e3181e1939d","title":"Intravascular Functional Maps of Common Neurovascular Lesions Derived From Volumetric 4D CT Data","year":2010,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Toronto Western Hospital","funders":"","keywords":"Voxel; Segmentation; Angiography; Bolus (digestion); Scanner; Blood flow; Biomedical engineering; Medicine; Nuclear medicine; Radiology; Computer science; Artificial intelligence; Anatomy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005130786,0.0003502071,0.0001616709,0.002202021,0.0001244814,0.0004594955,0.0002295975,0.0003569048,0.001265336],"category_scores_gemma":[0.002336364,0.0001990616,0.0002067942,0.0003680661,0.0002700177,0.0004170459,0.000257308,0.000192139,0.0002134113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000283836,"about_ca_system_score_gemma":0.0002577888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001003345,"about_ca_topic_score_gemma":0.0007019065,"domain_scores_codex":[0.9998978,0.00003012884,0.000008048771,0.00001986728,0.00002932232,0.00001474047],"domain_scores_gemma":[0.9994307,0.0002558932,0.00009554785,0.00005983088,0.0001168835,0.00004115439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002052438,0.0001749508,0.05594594,0.0003223656,0.00009514923,0.001239146,0.0008648375,0.03875296,0.691883,0.001464939,0.0006056731,0.2065986],"study_design_scores_gemma":[0.00008480318,0.001320889,0.3120925,0.00009609551,0.0002411654,0.007530754,0.0005092958,0.2888787,0.382199,0.00382543,0.003044704,0.0001768806],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9075025,0.0002322991,0.09098475,0.00004992051,0.000003911217,0.00004752467,0.0002316944,0.0003635341,0.0005839174],"genre_scores_gemma":[0.9670081,0.0001190881,0.03222708,0.00001189414,0.000006160616,0.00003912763,0.000291998,0.00006446565,0.000232138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002202021,"threshold_uncertainty_score":0.004233003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04216696096307691,"score_gpt":0.2626970000194553,"score_spread":0.2205300390563784,"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."}}