{"id":"W4220833183","doi":"10.1109/tmi.2022.3161947","title":"Invertible Modeling of Bidirectional Relationships in Neuroimaging With Normalizing Flows: Application to Brain Aging","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"Calgary Foundation; University of Calgary","keywords":"Brain morphometry; Neuroimaging; Computer science; Artificial intelligence; Generative model; Machine learning; Pattern recognition (psychology); Generative grammar; Psychology; Neuroscience; Magnetic resonance imaging","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006293578,0.0001739666,0.0002535938,0.0007108424,0.0004364805,0.00001307448,0.0001806649,0.00002960272,0.00008957559],"category_scores_gemma":[0.00005903383,0.0001830718,0.00007582858,0.001407534,0.00006216292,0.000176365,0.00001112967,0.001160976,0.000005457915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002131787,"about_ca_system_score_gemma":0.0001747616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002261434,"about_ca_topic_score_gemma":0.00004606785,"domain_scores_codex":[0.997851,0.0001155194,0.0004757947,0.0004791283,0.0007772978,0.0003012755],"domain_scores_gemma":[0.9990146,0.0002266527,0.00008208057,0.0003694813,0.00008347078,0.0002237792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002282936,0.0006254549,0.008190976,0.00007904143,0.00002235471,0.00006129904,0.0006666261,0.9220432,0.01994276,0.0003047217,0.0002155827,0.04761969],"study_design_scores_gemma":[0.0008099559,0.0000780073,0.0004675915,0.0002012705,0.0000343391,0.0003280205,0.0004167286,0.9925933,0.003190115,0.0002716188,0.001418308,0.000190759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06756795,0.00003697792,0.914113,0.01705635,0.00007173452,0.0005458533,0.00001107839,0.00024428,0.0003527398],"genre_scores_gemma":[0.9782296,0.00001487596,0.01836014,0.002724932,0.00003491814,0.0005168644,0.00001162625,0.00005167323,0.00005535932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9106616,"threshold_uncertainty_score":0.7465452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0517417799576512,"score_gpt":0.3277829044766381,"score_spread":0.2760411245189869,"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."}}