{"id":"W2021032376","doi":"10.1016/j.echo.2011.08.002","title":"Segmental Analysis of Carotid Arterial Strain Using Speckle-Tracking","year":2011,"lang":"en","type":"article","venue":"Journal of the American Society of Echocardiography","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Speckle pattern; Cardiology; Strain (injury); Internal medicine; Artificial intelligence; Computer science","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":[0.0007663082,0.000125925,0.001020335,0.0003283538,0.00005701366,0.000005759182,0.0001588842,0.00003977066,0.00002538905],"category_scores_gemma":[0.0000223042,0.00009387759,0.008983507,0.002000732,0.0003955954,0.00008584737,0.00003985355,0.0001932476,1.162339e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006146723,"about_ca_system_score_gemma":0.0001503896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002377453,"about_ca_topic_score_gemma":0.00000141278,"domain_scores_codex":[0.9982277,0.0001592084,0.0006617077,0.0001221323,0.0006422694,0.0001869998],"domain_scores_gemma":[0.9978231,0.00002670758,0.001357389,0.000354838,0.0002742618,0.0001637683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008831876,0.0003749745,0.8528084,0.000189005,0.03323625,0.000007398684,0.001439611,0.0005978742,0.106736,0.000004987303,0.0004622918,0.003260081],"study_design_scores_gemma":[0.001085461,0.0001720059,0.9801477,0.0001335897,0.01206846,0.00005298837,0.002871534,0.0001361521,0.003177153,0.00004547808,0.00002747125,0.00008199556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936332,0.0004194533,0.005379866,0.00004211681,0.0001866803,0.0001646364,0.00005394482,0.000005149961,0.0001150239],"genre_scores_gemma":[0.9876873,0.000295492,0.01160329,0.0001848092,0.0002114906,7.02089e-7,0.000003327599,0.00001221131,0.000001353539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1273393,"threshold_uncertainty_score":0.9060107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03467497503246206,"score_gpt":0.2987189067995025,"score_spread":0.2640439317670404,"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."}}