{"id":"W4412984002","doi":"10.1162/imag.a.117","title":"How much is “enough”? Considerations for functional connectivity reliability in pediatric naturalistic fMRI","year":2025,"lang":"en","type":"article","venue":"Imaging Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Hotchkiss Brain Institute; Alberta Children's Hospital; University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Functional connectivity; Reliability (semiconductor); Psychology; Cognitive psychology; Computer science; Neuroscience; Reliability engineering; Engineering","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":[0.02286431,0.0004671675,0.0006784335,0.0007025014,0.0008917094,0.001611636,0.0009246913,0.0007560584,0.0008808358],"category_scores_gemma":[0.09452797,0.0005944014,0.0005699981,0.0006427914,0.002719538,0.001796095,0.0008772521,0.0009851087,0.0001485832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004997434,"about_ca_system_score_gemma":0.0006550667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002892679,"about_ca_topic_score_gemma":0.008622071,"domain_scores_codex":[0.9904488,0.005889769,0.0008787429,0.001691997,0.0008738195,0.0002168068],"domain_scores_gemma":[0.948415,0.03892106,0.005375409,0.003670706,0.003110722,0.0005069916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002159443,0.0002119332,0.5836476,0.003633047,0.001417004,0.002128362,0.03075405,0.007006135,0.1008361,0.01810168,0.009279692,0.2408249],"study_design_scores_gemma":[0.00004965965,0.001226459,0.9245479,0.000867406,0.0004096191,0.003687604,0.005676958,0.009890182,0.01620458,0.02384706,0.01344292,0.0001497425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.839157,0.00459719,0.1432056,0.004013798,0.0002841659,0.0003433928,0.001049445,0.0002896833,0.007059681],"genre_scores_gemma":[0.9418956,0.000760809,0.05560531,0.0004970112,0.0001101125,0.0005498058,0.000253615,0.0001202522,0.0002074235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02286431,"threshold_uncertainty_score":0.1209195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04931135944620278,"score_gpt":0.2955884475959796,"score_spread":0.2462770881497769,"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."}}