{"id":"W4220672893","doi":"10.1002/jmri.28106","title":"Test–Retest Reproducibility of In Vivo Magnetization Transfer Ratio and Saturation Index in Mice at 9.4 Tesla","year":2022,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Reproducibility; Nuclear medicine; Magnetization transfer; Coefficient of variation; Region of interest; Medicine; Voxel; Nuclear magnetic resonance; Bland–Altman plot; Magnetic resonance imaging; Biomedical engineering; Materials science; Radiology; Mathematics; Limits of agreement; Physics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01121509,0.000729243,0.0007687041,0.001152102,0.0006039343,0.0006647776,0.0006825718,0.0007563016,0.001363463],"category_scores_gemma":[0.01021568,0.0007185137,0.000611146,0.0004222757,0.0009130816,0.000572697,0.0006446876,0.001013882,0.0007380877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004175195,"about_ca_system_score_gemma":0.0004054012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009222228,"about_ca_topic_score_gemma":0.002221227,"domain_scores_codex":[0.9948378,0.001534173,0.000458106,0.001629131,0.001267929,0.0002728611],"domain_scores_gemma":[0.9834082,0.003343619,0.003167339,0.003888766,0.005561567,0.0006306148],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007943214,0.0009583053,0.07735345,0.0003157637,0.001009996,0.000172904,0.001429585,0.0009874935,0.8792148,0.0002681695,0.001194638,0.02915172],"study_design_scores_gemma":[0.0003549836,0.009124751,0.6329739,0.00006007066,0.001120692,0.0006214497,0.00018384,0.005441085,0.3452397,0.000707934,0.004010025,0.0001616523],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534389,0.001533115,0.04014305,0.0001593913,0.0001660328,0.0003954072,0.00161205,0.0006560489,0.001896061],"genre_scores_gemma":[0.968411,0.0003388312,0.02405683,0.0002548679,0.00008067727,0.001379885,0.001864274,0.0005961673,0.003017413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9887849,"threshold_uncertainty_score":0.05931181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00939187720764691,"score_gpt":0.2706492440327281,"score_spread":0.2612573668250812,"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."}}