{"id":"W2969090530","doi":"10.1016/j.cognition.2019.104042","title":"Learning reward frequency over reward probability: A tale of two learning rules","year":2019,"lang":"en","type":"article","venue":"Cognition","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Institute on Aging","keywords":"Psychology; Task (project management); Outcome (game theory); Value (mathematics); Cognitive psychology; Representation (politics); Cumulative prospect theory; Social psychology; Statistics; Expected utility hypothesis; Mathematics; Mathematical economics","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":[0.0001589691,0.0001284919,0.0001975231,0.00006734605,0.0001402683,0.00001763985,0.0001025174,0.00005771021,0.000283728],"category_scores_gemma":[0.00036352,0.0001119904,0.00008069996,0.0001820488,0.0002018222,0.0002148292,0.00006902112,0.0003357914,0.0004237396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001761282,"about_ca_system_score_gemma":0.00001144231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001209314,"about_ca_topic_score_gemma":0.000003885496,"domain_scores_codex":[0.9987394,0.0001965356,0.0002237984,0.0004173821,0.0002014769,0.0002214109],"domain_scores_gemma":[0.9994835,0.0001258448,0.0001552612,0.0001284608,0.00007213742,0.00003481618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003968539,0.00008981007,0.105956,0.00004409276,0.000003459622,0.000008605945,0.0002429638,0.00001187687,0.8869358,0.0001016564,0.00004092654,0.006525104],"study_design_scores_gemma":[0.002415289,0.001762569,0.07876398,0.0002994639,0.0001128265,0.00005643001,0.0003176992,0.00006596412,0.8670884,0.0472356,0.001299146,0.0005826743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990182,0.00003518226,0.00001239073,0.0001588532,0.0002609036,0.0002977609,0.000007354774,0.0001237901,0.00892173],"genre_scores_gemma":[0.998391,0.00003233564,0.0001340438,0.0001613419,0.00004455783,0.00002257788,0.000009180452,0.00001366663,0.001191308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04713394,"threshold_uncertainty_score":0.5446457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09697134378001848,"score_gpt":0.3516592094023235,"score_spread":0.2546878656223051,"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."}}