{"id":"W2883502771","doi":"10.1016/j.tics.2018.07.001","title":"Finding Consistency in Boredom by Appreciating its Instability","year":2018,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Mind wandering and attention","field":"Neuroscience","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Boredom; Operationalization; Psychology; Consistency (knowledge bases); Cognition; Cognitive psychology; Cognitive science; Social psychology; Epistemology; Neuroscience; Computer science; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001881867,0.0003543613,0.0008612438,0.0008967542,0.0003284098,0.0001568827,0.000527335,0.0001906758,0.0002612842],"category_scores_gemma":[0.003247511,0.0002884659,0.0001874952,0.003325186,0.0009543356,0.0003403605,0.0001733395,0.0004708944,0.00005468143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001282877,"about_ca_system_score_gemma":0.0002099561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003275734,"about_ca_topic_score_gemma":0.0001114944,"domain_scores_codex":[0.9961601,0.0006810267,0.0007743046,0.0013151,0.0004869207,0.0005825517],"domain_scores_gemma":[0.9978147,0.001483614,0.0004400983,0.000153074,0.00003826186,0.00007022259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002275332,0.00009208325,0.0002394444,0.000506678,0.000002032828,0.00000953871,0.0002405819,2.209964e-7,0.00001666692,0.00006994486,0.00006234585,0.9987582],"study_design_scores_gemma":[0.004745864,0.00186462,0.002040324,0.1909147,0.0006444546,0.0002404222,0.005096182,0.001904177,0.004726826,0.002545896,0.7777186,0.007557897],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00858308,0.9314257,0.00001823353,0.00002612062,0.0006341524,0.0004296738,0.0002665228,0.00005725061,0.05855929],"genre_scores_gemma":[0.1005729,0.8981036,0.00006372216,0.00005515322,0.0001087659,0.0001404869,0.0000374608,0.00002355108,0.0008943696],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9912003,"threshold_uncertainty_score":0.9999567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4525416917488975,"score_gpt":0.4811037019561515,"score_spread":0.02856201020725396,"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."}}