{"id":"W3021536489","doi":"10.1186/s12968-020-00613-3","title":"T1 mapping performance and measurement repeatability: results from the multi-national T1 mapping standardization phantom program (T1MES)","year":2020,"lang":"en","type":"article","venue":"Journal of Cardiovascular Magnetic Resonance","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"European Association of Cardiovascular Imaging; Siemens Healthineers; University College London; British Heart Foundation; Medical Research Council; Barts Charity; European Society of Cardiology; National Institute for Health and Care Research","keywords":"Repeatability; Imaging phantom; Quality assurance; Nuclear medicine; Medicine; Standardization; Coefficient of variation; Reproducibility; Biomedical engineering; Medical physics; Mathematics; Statistics; Computer science; Pathology","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":[0.01554834,0.0006788404,0.0003821698,0.0007061586,0.0005867156,0.0009419175,0.0006186542,0.0007616382,0.0008106916],"category_scores_gemma":[0.03578957,0.0004095396,0.0003591185,0.0007588783,0.0007598918,0.0007191261,0.001021441,0.0004709535,0.0005231295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004185666,"about_ca_system_score_gemma":0.0005603542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003228302,"about_ca_topic_score_gemma":0.003839654,"domain_scores_codex":[0.9890776,0.004967087,0.0009319028,0.002348268,0.002432595,0.0002425787],"domain_scores_gemma":[0.9761214,0.01031347,0.002668684,0.004306046,0.006306684,0.0002837976],"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":[0.01149817,0.00135159,0.3165838,0.0008151256,0.001761093,0.000343547,0.005439333,0.01825042,0.3798476,0.000820882,0.006677662,0.2566106],"study_design_scores_gemma":[0.0002917356,0.009572797,0.5827123,0.0001108828,0.001521299,0.002355812,0.0007834298,0.02211428,0.364127,0.000909342,0.01523804,0.0002630798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.908012,0.001628121,0.08176558,0.0002424117,0.0001216999,0.0002967765,0.00158871,0.001819018,0.004525783],"genre_scores_gemma":[0.9700177,0.0001639389,0.02663873,0.0002341286,0.00002819538,0.0001358118,0.001105391,0.0006520303,0.001024027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01554834,"threshold_uncertainty_score":0.08222842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07186812852390452,"score_gpt":0.2836441718444888,"score_spread":0.2117760433205843,"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."}}