{"id":"W3041848290","doi":"10.1038/s41467-020-17255-9","title":"Brain meta-state transitions demarcate thoughts across task contexts exposing the mental noise of trait neuroticism","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Queen's University","funders":"National Institute of Mental Health; McDonnell Center for Systems Neuroscience; Government of Canada; National Institutes of Health; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Queen's University; NIH Blueprint for Neuroscience Research; Canada Research Chairs","keywords":"Cognitive psychology; Transition (genetics); Trait; Psychology; Narrative; Prior probability; Task (project management); Computer science; Artificial intelligence; Linguistics","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":[0.0002352447,0.0001783646,0.0002525906,0.00003410225,0.0008684518,0.0000800452,0.001270122,0.00009689001,0.0000158758],"category_scores_gemma":[0.0004934951,0.000125475,0.0002660197,0.0005914418,0.0004246459,0.0002329312,0.0002487756,0.0009663524,0.000008083035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001798487,"about_ca_system_score_gemma":0.00002970517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009540773,"about_ca_topic_score_gemma":0.0002103328,"domain_scores_codex":[0.9983513,0.0004737561,0.0003644851,0.0003040266,0.0002709671,0.0002354877],"domain_scores_gemma":[0.9976279,0.00102262,0.0001875641,0.0009887844,0.00007707829,0.00009612204],"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":[0.00004432405,0.0001449525,0.00001445156,0.00001279508,0.00007201481,0.000002937745,0.005052682,0.0002137122,0.9781096,0.01241462,0.001900427,0.002017501],"study_design_scores_gemma":[0.004339486,0.0009074794,0.02213386,0.0001144863,0.001734133,0.0002511624,0.001736928,0.1211728,0.4923628,0.01165234,0.341862,0.001732446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.430948,0.002593131,0.003683654,0.5547717,0.0006935804,0.002097016,0.002680685,0.0003140246,0.002218193],"genre_scores_gemma":[0.9841003,0.0001425441,0.0003482397,0.01514976,0.00003604983,0.00005998917,0.00004566095,0.00002476784,0.0000927252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5531523,"threshold_uncertainty_score":0.6679517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06498098628976576,"score_gpt":0.3217283964073239,"score_spread":0.2567474101175582,"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."}}