{"id":"W2354814473","doi":"10.1016/j.beproc.2016.05.002","title":"Initial examination of priming tasks to decrease delay discounting","year":2016,"lang":"en","type":"article","venue":"Behavioural Processes","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge; McMaster University","funders":"National Institute on Minority Health and Health Disparities; National Institute on Drug Abuse; National Institute on Alcohol Abuse and Alcoholism","keywords":"Discounting; Delay discounting; Psychology; Temporal discounting; Randomized controlled trial; Priming (agriculture); Clinical psychology; Developmental psychology; Medicine; Impulsivity; Internal medicine; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002741585,0.001252395,0.0006877839,0.0004101621,0.0003852346,0.0006482002,0.0009611148,0.001045331,0.002919956],"category_scores_gemma":[0.01152547,0.0004425913,0.0003536041,0.0002469313,0.0005141917,0.0008906912,0.0003496549,0.001979961,0.0004464907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003183775,"about_ca_system_score_gemma":0.0009319542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007766286,"about_ca_topic_score_gemma":0.0007468189,"domain_scores_codex":[0.9993557,0.0002286071,0.00008923768,0.0001470928,0.0001016903,0.00007763388],"domain_scores_gemma":[0.993913,0.004279428,0.000363944,0.0005898465,0.0005334926,0.0003202239],"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":[0.01716858,0.01157368,0.00250085,0.0008860209,0.00006987801,0.0001633762,0.0004021119,0.0009188617,0.8914501,0.004183584,0.0008041043,0.0698787],"study_design_scores_gemma":[0.001650561,0.03173605,0.01460489,0.000129083,0.0003490788,0.0006918629,0.0001188157,0.006853484,0.9291049,0.005133411,0.009548813,0.00007917482],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595393,0.001432747,0.0324827,0.0008356763,0.0003082299,0.0009037143,0.0004346668,0.0001903669,0.003872676],"genre_scores_gemma":[0.9541809,0.00116294,0.03887543,0.0008715341,0.0002406156,0.0008989102,0.0003730928,0.0002109667,0.003185713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002919956,"threshold_uncertainty_score":0.01449907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2052174811694864,"score_gpt":0.417674971974173,"score_spread":0.2124574908046866,"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."}}