{"id":"W2153704483","doi":"10.1177/0956797610387441","title":"Better Mood and Better Performance","year":2010,"lang":"en","type":"article","venue":"Psychological Science","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Mood; Cognitive flexibility; Cognition; Flexibility (engineering); Cognitive psychology; Set (abstract data type); Prefrontal cortex; Anterior cingulate cortex; Selection (genetic algorithm); Negative mood; Developmental psychology; Clinical psychology; Neuroscience; Artificial intelligence","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002911475,0.0001477509,0.000128139,0.00006517499,0.0005423861,0.00008809549,0.0005902594,0.00007427253,0.0002340705],"category_scores_gemma":[0.0001592803,0.00009056018,0.00002898515,0.0005075278,0.003170813,0.0003581215,0.0002078129,0.0004763328,0.0002508071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004691024,"about_ca_system_score_gemma":0.000003586708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001400454,"about_ca_topic_score_gemma":0.000001809196,"domain_scores_codex":[0.9981419,0.00002579393,0.000151853,0.000872308,0.00031123,0.0004968928],"domain_scores_gemma":[0.9993945,0.00006769432,0.00004552089,0.0003052148,0.00002548441,0.0001615531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000008910813,0.00008160563,0.06028647,9.630539e-7,1.882202e-7,0.000007955083,0.00002601602,2.891625e-8,0.8902828,0.0001504782,0.00024709,0.04890752],"study_design_scores_gemma":[0.0002483292,0.0002571215,0.7856568,0.000002712728,0.00000328614,0.0001676208,0.000005117884,0.00002000237,0.2089752,0.001542198,0.002921854,0.000199875],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769195,0.000004293554,0.000005202932,0.006549533,0.0009286511,0.0001135582,0.000002109269,0.00009314191,0.01538398],"genre_scores_gemma":[0.9896132,0.00002006858,0.0005630892,0.009479797,0.0001034153,0.00001658371,8.534531e-8,0.000004441411,0.000199266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7253702,"threshold_uncertainty_score":0.999542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1298095179542765,"score_gpt":0.4038474744447408,"score_spread":0.2740379564904644,"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."}}