{"id":"W4200205313","doi":"10.1002/nbm.4685","title":"Validation of cardiac diffusion tensor imaging sequences: A multicentre test–retest phantom study","year":2021,"lang":"en","type":"article","venue":"NMR in Biomedicine","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"Office of AIDS Research; NIHR Oxford Biomedical Research Centre; National Heart, Lung, and Blood Institute; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Institute of Biomedical Imaging and Bioengineering; British Heart Foundation; National Institute for Health and Care Research","keywords":"Reproducibility; Repeatability; Diffusion MRI; Imaging phantom; Fractional anisotropy; Materials science; Biomedical engineering; Nuclear medicine; Nuclear magnetic resonance; Artifact (error); Analytical Chemistry (journal); Medicine; Chemistry; Magnetic resonance imaging; Computer science; Radiology; Physics; Artificial intelligence; Chromatography","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":[0.0002026448,0.0001431066,0.0003739751,0.0002015753,0.00004238957,0.000006315859,0.00008502887,0.000034456,0.000059741],"category_scores_gemma":[0.0005740609,0.0001185225,0.00005351813,0.0008866479,0.0001183677,0.00006382229,0.00006832735,0.0001676624,0.000004475875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008124633,"about_ca_system_score_gemma":0.00008866581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001047338,"about_ca_topic_score_gemma":0.000003616617,"domain_scores_codex":[0.998648,0.00004482908,0.0004185303,0.0003680595,0.0003212806,0.0001992583],"domain_scores_gemma":[0.9988929,0.0001969024,0.000129288,0.0004467267,0.0002271544,0.0001070535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001671776,0.0007966245,0.5746888,0.00006225495,0.000008642746,0.00008627171,0.0003936106,0.000001678323,0.4157881,0.00001121188,0.0001868314,0.007959288],"study_design_scores_gemma":[0.005915845,0.0008407702,0.6941521,0.001465931,0.0004197811,0.0001656535,0.006499681,0.003778034,0.277087,0.0004515157,0.008809656,0.0004140139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938178,0.0005787064,0.0006453713,0.003295403,0.00007717802,0.0009387478,0.00003099839,0.0001356899,0.0004800777],"genre_scores_gemma":[0.9929649,0.0002603132,0.006016362,0.0002877093,0.0001025465,0.00005815459,0.0001004054,0.00002183322,0.0001877977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1387011,"threshold_uncertainty_score":0.4833209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04574986128022169,"score_gpt":0.3680587431632073,"score_spread":0.3223088818829856,"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."}}