{"id":"W1588403970","doi":"10.1002/bdm.1874","title":"A Goal‐Priming Approach to Cognitive Consistency: Applications to Judgment","year":2015,"lang":"en","type":"article","venue":"Journal of Behavioral Decision Making","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Consistency (knowledge bases); Priming (agriculture); Psychology; Cognition; Cognitive psychology; Preference; Wishful thinking; Task (project management); Process (computing); Social psychology; Computer science; Artificial intelligence; Statistics; Mathematics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006779051,0.0003697402,0.000997614,0.001765489,0.0003014193,0.001002108,0.001782406,0.0001858067,0.0001063012],"category_scores_gemma":[0.003321516,0.0002851192,0.0004764124,0.001902658,0.0000897308,0.0007141015,0.0006808002,0.000491177,0.0009912872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004668146,"about_ca_system_score_gemma":0.0004834409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001377578,"about_ca_topic_score_gemma":0.0000183945,"domain_scores_codex":[0.9924523,0.0002065836,0.00281157,0.0008048253,0.003195053,0.0005297288],"domain_scores_gemma":[0.9916941,0.001761502,0.001340982,0.0008476941,0.003194188,0.001161513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004653574,0.0006319886,0.002826452,0.000001274337,0.00001142347,0.00006465824,0.001673982,0.002331601,0.0002487635,0.0001466532,0.01010888,0.9814889],"study_design_scores_gemma":[0.01279945,0.01048686,0.0515356,0.004398453,0.001835466,0.005970471,0.1293878,0.003815255,0.001683902,0.4066664,0.3656303,0.005790016],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7019922,0.0001157341,0.2938074,0.0002036997,0.0009389473,0.0005826491,0.00003043731,0.00002519423,0.002303648],"genre_scores_gemma":[0.8317207,0.000002656007,0.1670469,0.0007503858,0.0002569143,0.0000429174,0.000001180339,0.00003628579,0.000142053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9756989,"threshold_uncertainty_score":0.9999601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3070542495043695,"score_gpt":0.4760887536961202,"score_spread":0.1690345041917506,"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."}}