{"id":"W2528414325","doi":"10.1002/nbm.3619","title":"Structural and functional quantitative susceptibility mapping from standard fMRI studies","year":2016,"lang":"en","type":"article","venue":"NMR in Biomedicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quantitative susceptibility mapping; Computational biology; Computer science; Neuroscience; Psychology; Biology; Medicine; Magnetic resonance imaging; Radiology","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":[0.0001775485,0.0001190716,0.0003046312,0.0001193611,0.00005539664,0.000002670357,0.0000312351,0.00005291195,0.0001409158],"category_scores_gemma":[0.0002066236,0.00006763834,0.00002425945,0.0002151412,0.0004521541,0.00006886941,0.00004675681,0.00009362613,0.000004806323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001438198,"about_ca_system_score_gemma":0.00003024377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004839559,"about_ca_topic_score_gemma":0.00005611869,"domain_scores_codex":[0.9990722,0.00001751567,0.0002645553,0.0003018252,0.0001893085,0.0001546144],"domain_scores_gemma":[0.9992709,0.0002608956,0.00006481486,0.0001943691,0.000131352,0.0000776231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001393714,0.0001089194,0.2647549,0.000153456,0.0001571774,0.0000507573,0.002320105,0.000002899196,0.5455779,0.01414957,0.007558807,0.1637717],"study_design_scores_gemma":[0.007042029,0.001199994,0.8815393,0.001324083,0.00008308249,0.00003823976,0.00572623,0.0001571543,0.008619498,0.07170186,0.02222802,0.0003404727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9343206,0.002060198,0.04986612,0.01292229,0.00008385497,0.0003885931,0.0001019938,0.0000916491,0.0001647587],"genre_scores_gemma":[0.9630962,0.0006246684,0.03555495,0.0002878614,0.0001556988,0.00003856653,0.00003549112,0.00001013952,0.0001964446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6167845,"threshold_uncertainty_score":0.2758211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08443498459179184,"score_gpt":0.3859836113543861,"score_spread":0.3015486267625943,"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."}}