{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01457754,0.0008690862,0.0008661188,0.001967581,0.0008623037,0.002043447,0.001394627,0.001427881,0.006577509],"category_scores_gemma":[0.06860009,0.000895736,0.001128744,0.001817072,0.004103961,0.003175199,0.002774601,0.00276071,0.0005350235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212595,"about_ca_system_score_gemma":0.0009549214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008136635,"about_ca_topic_score_gemma":0.0003937146,"domain_scores_codex":[0.9921726,0.005844302,0.0002219077,0.0008493168,0.0007882512,0.0001237144],"domain_scores_gemma":[0.920543,0.06755133,0.003174801,0.005377545,0.002430182,0.0009231768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009296387,0.0009806941,0.008568928,0.0006691044,0.0002055693,0.0004110013,0.003907246,0.01483372,0.02519881,0.7146221,0.001969947,0.2277031],"study_design_scores_gemma":[0.0002409212,0.0003221235,0.005628539,0.00007055663,0.0000743476,0.0002586262,0.0001737173,0.1104617,0.007037214,0.8719773,0.003674408,0.00008064201],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04564161,0.0004403638,0.9387054,0.0008218437,0.0001132172,0.0003666786,0.0000666348,0.0004424666,0.01340187],"genre_scores_gemma":[0.4992736,0.0002232733,0.4974801,0.0003533112,0.0001546988,0.001169993,0.00003485597,0.000184516,0.001125592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01457754,"threshold_uncertainty_score":0.07709432,"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."}}