{"id":"W2996621779","doi":"10.1037/npe0000111","title":"Cognitive reflection but not reinforcement sensitivity is consistently associated with delay discounting of gains and losses.","year":2019,"lang":"en","type":"article","venue":"Journal of Neuroscience Psychology and Economics","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Narodowym Centrum Nauki","keywords":"Delay discounting; Reinforcement; Psychology; Discounting; Cognitive psychology; Cognition; Neuroeconomics; Sensitivity (control systems); Reflection (computer programming); Reinforcement learning; Impulsivity; Developmental psychology; Social psychology; Economics; Neuroscience; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002236227,0.0004083527,0.0004502293,0.0007635302,0.0002383035,0.001235353,0.0005615306,0.0008590467,0.002411457],"category_scores_gemma":[0.02903722,0.0003627471,0.0003597685,0.0005959232,0.0004327098,0.0003958321,0.0005135227,0.001996082,0.0002852306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002028281,"about_ca_system_score_gemma":0.0003048489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001178379,"about_ca_topic_score_gemma":0.001043697,"domain_scores_codex":[0.9990184,0.0003084147,0.00009770577,0.0002785027,0.0002347802,0.00006229723],"domain_scores_gemma":[0.9582622,0.01774693,0.01771089,0.003917677,0.0009979455,0.001364388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003156325,0.0007783578,0.9560186,0.0001383787,0.0006735185,0.0004473511,0.0003233932,0.0004286719,0.01766104,0.00056646,0.0005071295,0.01930081],"study_design_scores_gemma":[0.00001799992,0.0002292867,0.9952276,0.00002290816,0.0001041717,0.0007297245,0.00005357055,0.0007207554,0.00176377,0.0008988404,0.000213842,0.00001760582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972153,0.0002884728,0.0008448928,0.0001448868,0.00002484889,0.00000843759,0.0001721854,0.00002427794,0.00127668],"genre_scores_gemma":[0.9984901,0.0001370025,0.0007632575,0.00006150216,0.00001955093,0.000007179227,0.0001645951,0.00002129727,0.0003355234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002411457,"threshold_uncertainty_score":0.01182646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1638347902953827,"score_gpt":0.4169396595404513,"score_spread":0.2531048692450686,"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."}}