{"id":"W2795303245","doi":"10.1371/journal.pone.0193805","title":"Accuracy of speckle tracking in the context of stress echocardiography in short axis view: An in vitro validation study","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Radial stress; Speckle tracking echocardiography; Sonomicrometry; Speckle pattern; Strain rate; Intraclass correlation; Context (archaeology); Biomedical engineering; Imaging phantom; Medicine; Reproducibility; Deformation (meteorology); Cardiology; Internal medicine; Materials science; Nuclear medicine; Physics; Mathematics; Heart failure; Optics; Ejection fraction; Hemodynamics; Statistics; Biology; Composite material","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":[0.006070835,0.0005327224,0.0005557323,0.0003104287,0.0002436957,0.0008365983,0.0005424021,0.0008816159,0.0005933526],"category_scores_gemma":[0.01018048,0.0002872917,0.0003635904,0.0002360129,0.0006306331,0.0003860721,0.0004542129,0.0003752107,0.0002623026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002808612,"about_ca_system_score_gemma":0.0003228739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001032703,"about_ca_topic_score_gemma":0.0007978114,"domain_scores_codex":[0.9968413,0.001452981,0.0002322987,0.0005593441,0.0007890729,0.0001250188],"domain_scores_gemma":[0.9921873,0.004692787,0.0008439338,0.001061988,0.001085888,0.0001280833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006947679,0.0003019726,0.01475805,0.0001674656,0.00008909487,0.00009091469,0.0003477805,0.007110916,0.954101,0.0001119959,0.0001417026,0.02208421],"study_design_scores_gemma":[0.0000912967,0.006832996,0.0870031,0.00008667653,0.000328863,0.001038078,0.0001888499,0.1633009,0.7389105,0.0002424069,0.001877012,0.00009933022],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9007016,0.001422053,0.09653379,0.0001018676,0.00009884499,0.0001324295,0.0001552649,0.0001493006,0.0007048101],"genre_scores_gemma":[0.9627761,0.000592931,0.03556548,0.00007544312,0.00003910073,0.00009417593,0.0002863254,0.00006535562,0.0005050994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006070835,"threshold_uncertainty_score":0.03210604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05626188180737015,"score_gpt":0.2982660816131492,"score_spread":0.2420041998057791,"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."}}