{"id":"W3125888697","doi":"10.5539/ijps.v13n1p20","title":"Lying for Bonuses","year":2021,"lang":"en","type":"article","venue":"International Journal of Psychological Studies","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Carnegie Mellon University","keywords":"Lying; Psychology; Dice; Social psychology; Incentive; Group (periodic table); Statistics; Economics; Mathematics; Microeconomics; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002628736,0.0004230883,0.0003795347,0.0007228206,0.001910953,0.001659695,0.0004731089,0.001050567,0.01658246],"category_scores_gemma":[0.02419327,0.0001999109,0.0003198521,0.000218349,0.001373284,0.001863585,0.001368901,0.001584545,0.00255627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003801331,"about_ca_system_score_gemma":0.0004874785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002222805,"about_ca_topic_score_gemma":0.0003498479,"domain_scores_codex":[0.9969868,0.001551435,0.0001637997,0.0002297954,0.0007238779,0.0003442638],"domain_scores_gemma":[0.9870533,0.005199252,0.004481023,0.001102558,0.0008011491,0.00136258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004570739,0.002521344,0.2513054,0.001306386,0.0002408097,0.003997128,0.02755297,0.000648448,0.0246897,0.04350406,0.01452832,0.6251347],"study_design_scores_gemma":[0.0002904155,0.009831874,0.666379,0.002323694,0.0003611362,0.02805704,0.08382986,0.004658841,0.01819617,0.0657485,0.1198573,0.0004662285],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9502835,0.001602289,0.004850921,0.003476561,0.0003987628,0.00008900274,0.00007254887,0.00006889507,0.03915754],"genre_scores_gemma":[0.9935774,0.0003881603,0.001316314,0.0005011306,0.0001171866,0.00003025602,0.00003396501,0.00001235984,0.004023342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01658246,"threshold_uncertainty_score":0.05547386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2505193917676801,"score_gpt":0.5405934367675415,"score_spread":0.2900740449998613,"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."}}