{"id":"W4387526312","doi":"10.1016/j.jcmg.2023.09.005","title":"Carotid Plaque-RADS","year":2023,"lang":"en","type":"article","venue":"JACC. Cardiovascular imaging","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":185,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"American Society of Neuroradiology; American Heart Association","keywords":"Medicine; Vulnerable plaque; Radiology; Carotid arteries; Modalities; Magnetic resonance imaging; Stroke (engine); Stenosis; Medical physics; Pathology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006685849,0.0003096283,0.0006945042,0.0003514062,0.0001880718,0.00009220695,0.0001790811,0.00006343729,0.0001566007],"category_scores_gemma":[0.0001164279,0.0002947665,0.002654549,0.0007987642,0.00009427904,0.0002170589,0.0001525618,0.00024928,0.001115909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001062022,"about_ca_system_score_gemma":0.0001325065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009834392,"about_ca_topic_score_gemma":0.00000239674,"domain_scores_codex":[0.9972979,0.0001164219,0.0003091313,0.0006426669,0.0009766187,0.0006572125],"domain_scores_gemma":[0.9981034,0.00003201936,0.00003766116,0.001339398,0.0001431352,0.0003443843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007564312,0.0002689597,0.7804751,0.001101586,0.01018355,0.002032001,0.000921008,0.001730946,0.003692095,0.0004811776,0.06023638,0.1388015],"study_design_scores_gemma":[0.005960211,0.00006096852,0.6823767,0.0004167877,0.003320283,0.002504644,0.001651634,0.002018205,0.005556703,0.0001532355,0.2949428,0.001037771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8946112,0.01830747,0.003648881,0.004012461,0.002787722,0.003170524,0.00007912164,0.005132393,0.06825025],"genre_scores_gemma":[0.9969481,0.0005807634,0.0001614499,0.0005536996,0.0008076976,0.0001023331,0.000150865,0.0001009149,0.0005941484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2347064,"threshold_uncertainty_score":0.9999505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121658444332063,"score_gpt":0.2433050588445789,"score_spread":0.2311392144113726,"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."}}