{"id":"W4200225381","doi":"10.1016/j.compbiomed.2021.105131","title":"A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework","year":2021,"lang":"en","type":"article","venue":"Computers in Biology and Medicine","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Deep learning; Computer science; Artificial intelligence; Supercomputer; Mean squared error; Machine learning; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001827732,0.0001362453,0.0003951425,0.0001456917,0.0000544519,0.00000893819,0.00002850302,0.0001014554,0.00001877407],"category_scores_gemma":[0.0001271982,0.0001208821,0.00002830417,0.00009552523,0.00007589866,0.000066475,0.00004392576,0.0001728791,4.411211e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003298565,"about_ca_system_score_gemma":0.00002788495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001162422,"about_ca_topic_score_gemma":0.000006333421,"domain_scores_codex":[0.9990234,0.0001271826,0.0002565125,0.0003435866,0.00005401557,0.0001952742],"domain_scores_gemma":[0.9995381,0.0001789812,0.00004442467,0.00009710974,0.0000471548,0.00009417847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001472735,0.000151636,0.9400504,0.0004126623,0.00009069532,0.00006687487,0.001778769,0.0000771678,0.03819001,0.001083492,0.00001095226,0.01794007],"study_design_scores_gemma":[0.01098561,0.0008788996,0.8919287,0.003451672,0.0002754967,0.0009434425,0.0002966475,0.07742298,0.01044486,0.001144929,0.001774464,0.0004523066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8907136,0.0009653122,0.1066833,0.0007959896,0.0003357726,0.0004782446,0.000004005238,0.00001755847,0.000006303196],"genre_scores_gemma":[0.9949227,0.0009038496,0.002419437,0.0008930329,0.0002867081,0.0000237221,0.0005302101,0.00001192124,0.000008438638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1042638,"threshold_uncertainty_score":0.4929431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631195276536991,"score_gpt":0.3060135812009772,"score_spread":0.2897016284356073,"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."}}