{"id":"W2915297179","doi":"10.1016/j.nlm.2019.02.009","title":"DREADD-mediated modulation of locus coeruleus inputs to mPFC improves strategy set-shifting","year":2019,"lang":"en","type":"article","venue":"Neurobiology of Learning and Memory","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Mental Health","keywords":"Locus coeruleus; Neuroscience; Tonic (physiology); Disengagement theory; Prefrontal cortex; Psychology; Set (abstract data type); Cognition; Computer science; Nucleus; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001787954,0.0001169522,0.0002305191,0.0001248783,0.00006055169,0.000008897528,0.00008819236,0.00009641702,0.00001942897],"category_scores_gemma":[0.0004429646,0.0001051257,0.00003585112,0.0001696734,0.00009903662,0.00007087686,0.00006867912,0.0002391713,0.00001882507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006492488,"about_ca_system_score_gemma":0.00002208985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000199494,"about_ca_topic_score_gemma":0.000002434081,"domain_scores_codex":[0.9989186,0.0002020288,0.0002507931,0.0003537682,0.0000820182,0.0001927704],"domain_scores_gemma":[0.9991792,0.0003982313,0.000208021,0.0001171235,0.00004427717,0.00005316171],"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":[0.00006774595,0.00001863948,0.003983067,0.00003462655,0.000002924757,0.000001339499,0.000121078,0.004612293,0.9850736,0.00006690984,0.000008894293,0.006008932],"study_design_scores_gemma":[0.001495917,0.004286359,0.06037369,0.00009001254,0.00002453699,0.00004346544,0.0002234673,0.02985445,0.9022393,0.0001373214,0.0008161401,0.0004153993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984679,0.00001148356,0.0000391658,0.0001507488,0.0003369463,0.0001944747,0.000007753724,0.0000448004,0.0007467389],"genre_scores_gemma":[0.9990283,0.00002115433,0.00002177067,0.0002265271,0.00002542045,0.000002561852,0.00001203802,0.00001351558,0.0006486814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0828343,"threshold_uncertainty_score":0.4286904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558415164631246,"score_gpt":0.2515676536661759,"score_spread":0.2359835020198634,"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."}}