{"id":"W3217105868","doi":"10.3389/fninf.2021.622951","title":"Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach","year":2021,"lang":"en","type":"article","venue":"Frontiers in Neuroinformatics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Heart and Stroke Foundation; Centre for Addiction and Mental Health; Queen's University; St. Joseph’s Healthcare Hamilton; Western University; University of Toronto; University of British Columbia; Hospital for Sick Children; University of Calgary; University Health Network; Health Sciences Centre; St. Michael's Hospital; Sunnybrook Health Science Centre; McMaster University; Robarts Clinical Trials; Indoc Research; Holland Bloorview Kids Rehabilitation Hospital; Baycrest Hospital","funders":"Faculty of Health Sciences, Queen's University; Natural Sciences and Engineering Research Council of Canada; Temerty Family Foundation; H. Lundbeck A/S; Servier; University of British Columbia; London Health Sciences Foundation; Government of Ontario; University of Ottawa; Hospital for Sick Children; Pfizer; Ontario Brain Institute; University of Calgary; Queen's University; Canadian Institutes of Health Research; Centre for Addiction and Mental Health Foundation; McMaster University; Bristol-Myers Squibb","keywords":"Computer science; Metadata; Identification (biology); Artificial intelligence; Magnetic resonance imaging; Sequence (biology); Machine learning; A priori and a posteriori; Software; Information retrieval; Data mining; World Wide Web; Medicine; Radiology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002547561,0.0001217966,0.0001543451,0.00006752408,0.0000855063,0.00009366442,0.0002294617,0.00008044775,0.000001822921],"category_scores_gemma":[0.0005329386,0.0001271439,0.00004549813,0.0002508512,0.0001323855,0.00002498873,0.0001575051,0.0002011441,0.000001714823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002159495,"about_ca_system_score_gemma":0.00010235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004322258,"about_ca_topic_score_gemma":0.000001202724,"domain_scores_codex":[0.9989103,0.00008545128,0.0003494032,0.0002372263,0.0001646457,0.0002529892],"domain_scores_gemma":[0.9994299,0.00001009507,0.0001035287,0.0003525639,0.00005453379,0.00004934497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009948618,0.0002210547,0.1021,0.000389944,0.00003980126,0.0001512195,0.001395088,0.009224034,0.1686186,0.0002078226,0.01488785,0.7026652],"study_design_scores_gemma":[0.000951819,0.00009064625,0.007463727,0.00008435397,0.00004636396,0.0002963964,0.003623643,0.7842276,0.02042012,0.0002286922,0.1820057,0.0005609271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3507007,0.02426738,0.6217068,0.0001780448,0.001040517,0.0002320362,0.00002922168,0.00006830889,0.001777006],"genre_scores_gemma":[0.4619307,0.001803112,0.5331101,0.0006448807,0.000135976,0.00001887492,0.0004329303,0.00004305382,0.001880403],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7750036,"threshold_uncertainty_score":0.5184776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02552399238093964,"score_gpt":0.2662290727434171,"score_spread":0.2407050803624774,"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."}}