{"id":"W4399963442","doi":"10.1093/pnasnexus/pgae232","title":"Valuations of target items are drawn towards unavailable decoy items due to prior expectations","year":2024,"lang":"en","type":"article","venue":"PNAS Nexus","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Decoy; Computer science; Psychology; Medicine; Internal medicine","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":["metaresearch","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00273691,0.0002890944,0.0006070691,0.00125912,0.0004084729,0.001667406,0.001187141,0.0001383091,0.004689371],"category_scores_gemma":[0.01129875,0.0002363605,0.0002737064,0.003427273,0.0001313449,0.000731344,0.0003664132,0.0002248689,0.005241472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000134754,"about_ca_system_score_gemma":0.0005525866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001436631,"about_ca_topic_score_gemma":0.000165448,"domain_scores_codex":[0.9941196,0.0003315629,0.001493481,0.001020035,0.002551471,0.0004838048],"domain_scores_gemma":[0.9939784,0.003080704,0.0003063635,0.001255344,0.001054525,0.0003246226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001512877,0.000683619,0.004137156,0.0001354288,0.000260795,0.0005005613,0.06621796,0.02098411,0.03349282,0.0153483,0.5554083,0.3026796],"study_design_scores_gemma":[0.0009030646,0.000225958,0.02257811,0.0005304489,0.00008918903,0.0001072543,0.01389687,0.2157836,0.009947146,0.09825825,0.6366739,0.001006297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.604427,0.006008495,0.332647,0.007772335,0.0105768,0.00224252,0.0008346963,0.0006793961,0.03481179],"genre_scores_gemma":[0.9563736,0.000004011044,0.03067048,0.0002904127,0.0003248787,0.0001455062,0.00001758451,0.00005253521,0.01212093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3519467,"threshold_uncertainty_score":0.999369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1874607206854822,"score_gpt":0.4552383851139726,"score_spread":0.2677776644284904,"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."}}