{"id":"W4224276080","doi":"10.1117/1.nph.9.3.032211","title":"Toward an integrative neurovascular framework for studying brain networks","year":2022,"lang":"en","type":"article","venue":"Neurophotonics","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Neuroimaging; Functional magnetic resonance imaging; Neuroscience; Resting state fMRI; Functional connectivity; Computer science; Functional neuroimaging; Human brain; Blood-oxygen-level dependent; Connectomics; Psychology; Connectome","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009746403,0.0009854612,0.000727972,0.001600015,0.0004998368,0.001796678,0.001600749,0.001167325,0.002544643],"category_scores_gemma":[0.001598979,0.0004290684,0.00106422,0.0008830657,0.002457482,0.002997789,0.001796819,0.001674142,0.0005746818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032806,"about_ca_system_score_gemma":0.0006613472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001486056,"about_ca_topic_score_gemma":0.001400338,"domain_scores_codex":[0.9996681,0.0001525999,0.00001336022,0.00008287743,0.00005411783,0.0000289588],"domain_scores_gemma":[0.9994561,0.0002461712,0.00007953772,0.00007951065,0.00006931339,0.00006930031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005962298,0.000009897351,0.000192297,0.00007142006,0.00002470997,0.00005996458,0.00008516121,0.03044132,0.002363291,0.9616902,0.0005850435,0.004470852],"study_design_scores_gemma":[0.000004969955,0.00001778793,0.0003886248,0.00002882179,0.00001252532,0.00005311974,0.00003989373,0.1244068,0.0001826716,0.8696335,0.005220177,0.0000111398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007316283,0.002987842,0.9762278,0.001750218,0.00009823016,0.00003267571,0.0001951896,0.00009417342,0.01129765],"genre_scores_gemma":[0.4296682,0.01516713,0.5426139,0.001091704,0.001625625,0.0008691679,0.0005292963,0.0003093416,0.008125558],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002544643,"threshold_uncertainty_score":0.008512676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06277545028551991,"score_gpt":0.2968604508942275,"score_spread":0.2340850006087076,"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."}}