{"id":"W1991199524","doi":"10.1016/j.neuroimage.2014.05.079","title":"Phase based venous suppression in resting-state BOLD GE-fMRI","year":2014,"lang":"en","type":"article","venue":"NeuroImage","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Resting state fMRI; Neuroscience; Artificial intelligence; Computer science; Default mode network; Pattern recognition (psychology); Confounding; SIGNAL (programming language); Functional magnetic resonance imaging; Psychology; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001142024,0.0001030895,0.0001660263,0.00008173691,0.00005092642,0.000009710706,0.00007900611,0.00003659345,0.00003353464],"category_scores_gemma":[0.0001522845,0.00009363988,0.00003772931,0.0001670307,0.000040421,0.00004936282,0.0000293657,0.0002297369,0.00002617516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002099958,"about_ca_system_score_gemma":0.0000246275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001735091,"about_ca_topic_score_gemma":0.000003289348,"domain_scores_codex":[0.9991962,0.00003319983,0.0001836634,0.0002611284,0.0001219272,0.0002038445],"domain_scores_gemma":[0.9993222,0.00008102343,0.00005785468,0.000414486,0.00003097152,0.00009343318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003296387,0.003193314,0.0012624,0.00009183052,0.00000143923,0.0002641472,0.00008529074,0.0004678864,0.8984367,0.0003722235,0.007540889,0.08795428],"study_design_scores_gemma":[0.0139745,0.004225761,0.02524581,0.0004911485,0.00005925851,0.0001118345,0.0000159729,0.1552136,0.4356273,0.003626404,0.3608366,0.0005718909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.838737,0.00003971399,0.1435665,0.003685588,0.00007378337,0.000880429,0.00002361326,0.0005257418,0.0124676],"genre_scores_gemma":[0.9795706,0.00001456663,0.01838369,0.001402752,0.00005937224,0.00005999889,0.00002971893,0.00003258202,0.0004467475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4628094,"threshold_uncertainty_score":0.3818524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02673388835016103,"score_gpt":0.3456925661321451,"score_spread":0.3189586777819841,"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."}}