{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006186409,0.00081309,0.0006413058,0.001851526,0.0005233398,0.000566133,0.0008941814,0.0009780318,0.006233491],"category_scores_gemma":[0.003795783,0.0002691007,0.000656295,0.001664747,0.0002908829,0.0003834089,0.0009603803,0.0007396882,0.003855624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004390935,"about_ca_system_score_gemma":0.0005421728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01389754,"about_ca_topic_score_gemma":0.03385343,"domain_scores_codex":[0.9996006,0.00006144865,0.00005145845,0.0001651297,0.00007561314,0.00004572024],"domain_scores_gemma":[0.9987118,0.0002562536,0.0002529401,0.0003281833,0.000309906,0.0001408272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001877833,0.000548385,0.3003244,0.002102766,0.00158774,0.002444684,0.001438216,0.005561336,0.01595039,0.002451758,0.5901281,0.07558434],"study_design_scores_gemma":[0.000422903,0.0003750738,0.8294072,0.0002765441,0.0004331288,0.003571033,0.0005382482,0.004147749,0.00270681,0.004253146,0.1537139,0.0001541915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1483794,0.0004837605,0.00308554,0.0002220186,0.00004601599,0.0001289424,0.8449379,0.000652978,0.002063555],"genre_scores_gemma":[0.1167563,0.0002171497,0.004253774,0.0000855299,0.00004157112,0.0006800724,0.8764408,0.0001373766,0.001387333],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01389754,"threshold_uncertainty_score":0.02763331,"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."}}