{"id":"W3130050143","doi":"10.1007/s00426-021-01487-5","title":"Re-examining the effect of motivation on intentional and unintentional task-unrelated thought: accounting for thought constraint produces novel results","year":2021,"lang":"en","type":"article","venue":"Psychological Research","topic":"Mind wandering and attention","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Task (project management); Psychology; Variety (cybernetics); Cognition; Conflation; Cognitive psychology; Constraint (computer-aided design); Social psychology; Computer science; Artificial intelligence; Linguistics; Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004255364,0.000120629,0.0001636122,0.000113058,0.0004325604,0.0001090696,0.0002098066,0.0001107091,0.00004999323],"category_scores_gemma":[0.03461505,0.00007250286,0.00007459138,0.0005668997,0.0005345251,0.00009039988,0.0001191453,0.0005478903,0.000007521636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002549689,"about_ca_system_score_gemma":0.00002352314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001936751,"about_ca_topic_score_gemma":9.951137e-7,"domain_scores_codex":[0.9972927,0.0006300982,0.0003510166,0.000691388,0.0006962135,0.0003385658],"domain_scores_gemma":[0.9918525,0.007409432,0.0001251267,0.0002442803,0.000315263,0.00005336914],"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":[0.001337826,0.0003384844,0.002594483,0.00007216102,0.00002034252,0.00001066302,0.0001229502,0.00005963159,0.9593439,0.01744391,0.0008841409,0.01777152],"study_design_scores_gemma":[0.006949731,0.004604577,0.2958637,0.0008755845,0.0000322151,0.0001159434,0.001269641,0.003579519,0.6784907,0.004860788,0.00297483,0.0003827517],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899011,0.00004002145,0.001494056,0.003306582,0.0002099018,0.0004993819,0.00005816099,0.00002936088,0.004461493],"genre_scores_gemma":[0.9981453,0.00002617395,0.0002793883,0.00009808003,0.0001208847,0.00007268942,0.00003398643,0.000009615977,0.001213827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2932692,"threshold_uncertainty_score":0.9735168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2902301521226403,"score_gpt":0.4498995359466703,"score_spread":0.1596693838240301,"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."}}