{"id":"W2300352270","doi":"10.1002/jeab.177","title":"When good pigeons make bad decisions: Choice with probabilistic delays and outcomes","year":2015,"lang":"en","type":"article","venue":"Journal of the Experimental Analysis of Behavior","topic":"Behavioral and Psychological Studies","field":"Psychology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Probabilistic logic; Food choice; Psychology; Reinforcement; Social psychology; Computer science; Artificial intelligence; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003699267,0.0002142004,0.0007317012,0.0001941169,0.0001104916,0.00002873911,0.00044095,0.00008945046,0.0003718372],"category_scores_gemma":[0.0001081614,0.0001033033,0.0004416888,0.0004892179,0.0002980035,0.00008181937,0.000151304,0.0002348712,0.000006155716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006402293,"about_ca_system_score_gemma":0.00001912096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004194379,"about_ca_topic_score_gemma":0.0002299292,"domain_scores_codex":[0.9981766,0.000166936,0.0006835244,0.0002279535,0.0005281463,0.0002168014],"domain_scores_gemma":[0.9983532,0.0001796314,0.0006174843,0.0003704096,0.0002803658,0.0001989029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00023902,0.001980182,0.9892989,8.495463e-7,0.001270353,0.00003034175,0.002537938,0.00002067079,0.001027524,0.0001308715,0.0008395335,0.002623832],"study_design_scores_gemma":[0.001255319,0.0008972441,0.9886688,0.00002257751,0.004426037,0.00005157839,0.003498839,0.000002315566,0.0002592061,0.00008681284,0.0006792204,0.0001520355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958477,0.002426243,0.00002716703,0.0003994702,0.0004194021,0.0002000369,0.00002381365,0.000007898682,0.0006482808],"genre_scores_gemma":[0.9984831,0.0000074681,0.0006462371,0.0001178561,0.00004639608,0.00003303852,0.000001615713,0.00001155935,0.0006527357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003155685,"threshold_uncertainty_score":0.4212585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1642834681650591,"score_gpt":0.3828315610529213,"score_spread":0.2185480928878622,"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."}}