{"id":"W2038429147","doi":"10.1002/hbm.21306","title":"Using spatial multiple regression to identify intrinsic connectivity networks involved in working memory performance","year":2011,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health; Canadian Institutes of Health Research","keywords":"Default mode network; Working memory; Task-positive network; Task (project management); Set (abstract data type); Resting state fMRI; Neuroscience; Cognition; Psychology; Dorsum; Functional connectivity; Computer science; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006778551,0.0004938262,0.0002130335,0.001242958,0.000140603,0.000287344,0.0002879037,0.0001559183,0.001088148],"category_scores_gemma":[0.003234016,0.0001392991,0.0004030053,0.0008702148,0.0002610636,0.0004290784,0.000202826,0.0002162876,0.0001713631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002191479,"about_ca_system_score_gemma":0.0002154326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003722227,"about_ca_topic_score_gemma":0.006374322,"domain_scores_codex":[0.999782,0.00008251673,0.00001119886,0.00007468393,0.00003215196,0.00001744746],"domain_scores_gemma":[0.9991286,0.0005263192,0.0001621677,0.00009903214,0.00006398661,0.00001978526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001030313,0.0002567257,0.1755365,0.0003327526,0.00146906,0.0005652468,0.001072323,0.07452754,0.3574892,0.006367383,0.001094847,0.3802581],"study_design_scores_gemma":[0.00003498649,0.000373697,0.4929254,0.00001594297,0.0002541626,0.0009284821,0.0001920072,0.4557903,0.04075134,0.007334881,0.001344437,0.00005438056],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8716762,0.0002247961,0.1256958,0.00007005825,0.000006486868,0.00004428773,0.0003261513,0.000422758,0.001533538],"genre_scores_gemma":[0.9615289,0.0001045734,0.03738936,0.000007253857,0.000008066182,0.0000503862,0.0003737313,0.00005069539,0.0004871812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003722227,"threshold_uncertainty_score":0.007401109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1998743832204886,"score_gpt":0.3183839245999441,"score_spread":0.1185095413794555,"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."}}