{"id":"W3213878841","doi":"10.1016/j.dib.2021.107573","title":"Dataset of functional connectivity during cognitive control for an adult lifespan sample","year":2021,"lang":"en","type":"article","venue":"Data in Brief","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University; Montreal Neurological Institute and Hospital; Baycrest Hospital","funders":"Canadian Institutes of Health Research","keywords":"Sample (material); Cognition; Functional connectivity; Computational biology; Biology; Computer science; Neuroscience; Bioinformatics; Psychology; Medicine; Gerontology; Chemistry","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0004198035,0.0001462403,0.0002860781,0.00007642643,0.000192011,0.00003721239,0.0002974903,0.00005091963,0.00007921705],"category_scores_gemma":[0.07880643,0.0001607926,0.00003479914,0.0002796727,0.0001791699,0.0008228727,0.0003778971,0.0001459031,0.000007182724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000362422,"about_ca_system_score_gemma":0.0001634076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003595018,"about_ca_topic_score_gemma":0.002787711,"domain_scores_codex":[0.9979991,0.0002433563,0.0002834013,0.0009190429,0.0002935114,0.0002615795],"domain_scores_gemma":[0.982153,0.01669032,0.0001275105,0.0007479035,0.0002177024,0.00006354637],"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":[0.008849535,0.005546912,0.1838215,0.0008733574,0.0004116419,0.0002030208,0.0006970246,0.0008007301,0.6594183,0.03393346,0.0985884,0.006856088],"study_design_scores_gemma":[0.02182365,0.0008460206,0.5866895,0.0002557761,0.0001983571,0.0002039483,0.0013948,0.01821551,0.3193327,0.006730344,0.04304472,0.001264712],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6117272,0.00003408402,0.01526573,0.001528285,0.000413686,0.0005068264,0.3704206,0.0000367565,0.00006680012],"genre_scores_gemma":[0.9806737,0.00001058737,0.0003365646,0.00307246,0.0001701214,0.00008247752,0.0156216,0.0000170868,0.00001537892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.402868,"threshold_uncertainty_score":0.9289532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1002039456119928,"score_gpt":0.3209696371829686,"score_spread":0.2207656915709758,"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."}}