{"id":"W4407278334","doi":"10.1007/s00429-025-02899-4","title":"Microvascular structure variability explains variance in fMRI functional connectivity","year":2025,"lang":"en","type":"article","venue":"Brain Structure and Function","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Fonds de Recherche du Québec - Santé; Fondation Brain Canada","keywords":"Functional connectivity; Similarity (geometry); Neuroscience; Resting state fMRI; Metric (unit); Correlation; Regression; Computer science; Neuroimaging; Artificial intelligence; Psychology; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005066754,0.0003561994,0.0003943452,0.0003023967,0.0005060239,0.00009418133,0.000141833,0.0002724414,0.0002361984],"category_scores_gemma":[0.008212738,0.0003348548,0.0001012997,0.0009910814,0.0002663819,0.000437616,0.0001627301,0.0005710154,0.000004364879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001919508,"about_ca_system_score_gemma":0.0001337929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007053072,"about_ca_topic_score_gemma":0.0003678249,"domain_scores_codex":[0.9971787,0.0005231352,0.0003392718,0.001235077,0.0003309469,0.0003928395],"domain_scores_gemma":[0.9945544,0.004725437,0.0001065541,0.000451756,0.00009265092,0.00006922382],"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":[0.001232533,0.0001774267,0.06884949,0.0002449919,0.0001438976,0.00002003677,0.0003876909,0.001998185,0.7499091,0.1381999,0.01691534,0.0219214],"study_design_scores_gemma":[0.002398895,0.0001427377,0.7292987,0.00005519114,0.00006111844,0.00007485133,0.0001312387,0.00107687,0.04632419,0.1766452,0.04325109,0.0005398269],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642685,0.0001897925,0.02260521,0.007739429,0.002697502,0.0006159288,0.0001118982,0.0001598151,0.001611916],"genre_scores_gemma":[0.9904017,0.00001403535,0.0001874963,0.008641072,0.0002432797,0.0000338062,0.0000217773,0.00001821119,0.0004386192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.703585,"threshold_uncertainty_score":0.9999104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276978064360473,"score_gpt":0.2307924476263038,"score_spread":0.2180226669826991,"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."}}