{"id":"W1987469077","doi":"10.1118/1.3447725","title":"Quantification of arterial plaque and lumen density with MDCT","year":2010,"lang":"en","type":"article","venue":"Medical Physics","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Toronto General Hospital","funders":"Toshiba Medical Systems","keywords":"Medical imaging; Radiology; Lumen (anatomy); Medicine; Medical physics; Nuclear medicine; Internal medicine","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":[0.001510119,0.0004212644,0.0003519551,0.001868199,0.0001640779,0.0007077894,0.0004053778,0.0004230725,0.0008541546],"category_scores_gemma":[0.002586134,0.0003200938,0.0002159449,0.0005589608,0.0003027987,0.0003489787,0.0004095165,0.0003047937,0.0004756772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004243907,"about_ca_system_score_gemma":0.0003912266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007053021,"about_ca_topic_score_gemma":0.0006191792,"domain_scores_codex":[0.9994221,0.0001570872,0.00003676295,0.00009517652,0.0002651046,0.00002375919],"domain_scores_gemma":[0.9994739,0.0002108678,0.000110262,0.00005577916,0.0001302897,0.00001892565],"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":[0.000715762,0.000136361,0.05804905,0.0009427619,0.0001676671,0.0003947419,0.0002121538,0.01233725,0.6292592,0.002042797,0.0005622583,0.29518],"study_design_scores_gemma":[0.00005318525,0.0007168945,0.2900243,0.0002595036,0.0004114714,0.009175907,0.00008812148,0.1872673,0.4966232,0.00230157,0.01296588,0.0001127761],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4828365,0.01341134,0.4981901,0.0001691606,0.00005612443,0.0002063487,0.0003691947,0.001210514,0.003550768],"genre_scores_gemma":[0.7094314,0.003164081,0.2845894,0.00006977095,0.00005025892,0.0001827144,0.0004012128,0.0001170346,0.001994173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001868199,"threshold_uncertainty_score":0.007986367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007654220179608627,"score_gpt":0.2359798148677359,"score_spread":0.2283255946881273,"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."}}