{"id":"W2505622031","doi":"10.1007/s00221-016-4729-y","title":"How do we decide what to do? Resting-state connectivity patterns and components of self-generated thought linked to the development of more concrete personal goals","year":2016,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Mind wandering and attention","field":"Neuroscience","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Institute of Neurosciences, Mental Health and Addiction; Office of Education; John Templeton Foundation; Biotechnology and Biological Sciences Research Council; European Research Council; Wellcome Trust; Canadian Institutes of Health Research","keywords":"Mind-wandering; Functional magnetic resonance imaging; Psychology; Cognition; Cognitive psychology; Functional connectivity; Resting state fMRI; Ventromedial prefrontal cortex; Hippocampus; Neural correlates of consciousness; Neuroscience; Cognitive science; Prefrontal cortex","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":[],"consensus_categories":[],"category_scores_codex":[0.001255463,0.0001553555,0.0002103076,0.0001609432,0.0003078106,0.0002070942,0.0003166404,0.00004541012,0.0000381251],"category_scores_gemma":[0.0005138642,0.00009799526,0.00003684637,0.0003465823,0.0001886724,0.0002201245,0.0004532951,0.0001414452,0.00001164752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001050715,"about_ca_system_score_gemma":0.0000730483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003133137,"about_ca_topic_score_gemma":0.000009525195,"domain_scores_codex":[0.9972941,0.0006181823,0.0002627778,0.0005173867,0.0008851108,0.0004224382],"domain_scores_gemma":[0.9983503,0.0009916784,0.00007927245,0.000248932,0.0001250943,0.0002046767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000170242,0.000046054,0.001578686,0.00002513287,0.00001236084,0.000006414675,0.01168386,0.000001614951,0.9797312,0.00005175218,0.0002607014,0.006431991],"study_design_scores_gemma":[0.0006849171,0.0002250877,0.01163955,0.0004615206,0.000001141951,0.000006861649,0.005663902,0.00009438204,0.9795969,0.00001031244,0.00148215,0.0001333306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916722,0.000237306,0.0004367919,0.006842324,0.00009951648,0.0006259104,0.00004279142,0.000020792,0.00002233445],"genre_scores_gemma":[0.9982177,0.00004520335,0.0008922197,0.0001367807,0.00003891381,0.00008655051,0.000002347637,0.00001953544,0.0005607305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01006087,"threshold_uncertainty_score":0.3996131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1187336828291875,"score_gpt":0.3776558869121276,"score_spread":0.2589222040829401,"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."}}