{"id":"W4306649388","doi":"10.1016/j.jcin.2022.09.023","title":"Automated Artificial Intelligence–Guided Diagnosis of Plaque Erosion","year":2022,"lang":"en","type":"letter","venue":"JACC: Cardiovascular Interventions","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Erosion; Computer science; Artificial intelligence; Geology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007262538,0.0005253885,0.001528399,0.0007139175,0.0001949638,0.00006986222,0.0005088822,0.0004210666,0.01195229],"category_scores_gemma":[0.0001822391,0.0005322287,0.009489813,0.0006309827,0.0001489683,0.0001137149,0.0005710932,0.001348806,0.0002963064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005394891,"about_ca_system_score_gemma":0.0001227162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003095308,"about_ca_topic_score_gemma":0.00001540304,"domain_scores_codex":[0.9950279,0.0005753484,0.001479057,0.0008751887,0.001525602,0.0005169229],"domain_scores_gemma":[0.9972873,0.00008256436,0.0003656554,0.001858828,0.0002666157,0.0001389846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005077375,0.0005663345,0.0001748508,0.002888839,0.006854052,0.001406792,0.00007383897,0.001315965,0.00002321763,0.00005331825,0.9789952,0.007596795],"study_design_scores_gemma":[0.0005034527,0.0005457912,0.001019891,0.002208628,0.008587233,0.0001512764,0.0001530983,0.001344546,0.0005803505,0.0003299215,0.983947,0.0006287929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04166355,0.03451852,0.03179656,0.8388294,0.01351046,0.01733032,0.004469481,0.006203135,0.01167857],"genre_scores_gemma":[0.5009328,0.005246431,0.005901452,0.3948166,0.01487012,0.02108881,0.03681133,0.001616724,0.01871576],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4592693,"threshold_uncertainty_score":0.9997129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07598157805314111,"score_gpt":0.3246132351210366,"score_spread":0.2486316570678955,"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."}}