{"id":"W2899570256","doi":"10.1101/459479","title":"Ultra-high field MRI reveals mood-related circuit disturbances in depression: A comparison between 3-Tesla and 7-Tesla","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"START Clinic","funders":"Icahn School of Medicine at Mount Sinai","keywords":"Neuroscience; Resting state fMRI; Functional magnetic resonance imaging; Neuroimaging; Computer science; Major depressive disorder; Medicine; Psychology; Nuclear magnetic resonance; Physics; Amygdala","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":[0.0006596929,0.0002430323,0.000194693,0.0006687731,0.0001674339,0.0003855049,0.0002302497,0.0006494587,0.00119284],"category_scores_gemma":[0.0007296097,0.0002450609,0.0002159338,0.0001847129,0.0003071249,0.0004121894,0.000232828,0.0004029573,0.0001526028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001174609,"about_ca_system_score_gemma":0.0001149913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000535491,"about_ca_topic_score_gemma":0.001254513,"domain_scores_codex":[0.9999093,0.00003093617,0.000008631942,0.00001950105,0.00001373868,0.00001792728],"domain_scores_gemma":[0.9996986,0.00008594482,0.00007048099,0.00003687273,0.00005755037,0.00005063703],"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":[0.001424372,0.0001413102,0.01444947,0.0002453456,0.0001662441,0.0009445359,0.0001909018,0.0004346079,0.9602863,0.0003504049,0.0003518589,0.02101464],"study_design_scores_gemma":[0.0001726815,0.003480684,0.7704465,0.0001786404,0.0005674761,0.01747886,0.0005090247,0.01421149,0.1869918,0.00238012,0.003472803,0.000109873],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813313,0.003547358,0.01316421,0.0002529712,0.00003307329,0.00005573371,0.0001816573,0.0001327231,0.001300807],"genre_scores_gemma":[0.9826555,0.001553444,0.01461882,0.0002511364,0.00003466418,0.00004352148,0.0002755599,0.00004361222,0.0005237491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00119284,"threshold_uncertainty_score":0.003990412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0286566676971821,"score_gpt":0.2518137226339113,"score_spread":0.2231570549367292,"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."}}