{"id":"W4313455834","doi":"10.1016/j.crbeha.2022.100095","title":"Individual differences in self- and value-based reward processing","year":2022,"lang":"en","type":"article","venue":"Current Research in Behavioral Sciences","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Leverhulme Trust","keywords":"Psychology; Matching (statistics); Social psychology; Similarity (geometry); Perspective (graphical); Task (project management); Perception; Value (mathematics); Cognitive psychology; Self; Artificial intelligence; Computer science; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002567439,0.0001717221,0.0002322571,0.0008367437,0.001367754,0.000213252,0.0009397831,0.00003542386,0.00004915654],"category_scores_gemma":[0.0000714778,0.0001330409,0.00003170881,0.003047908,0.001752961,0.0003448745,0.0007888968,0.001095325,0.000004748416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001258761,"about_ca_system_score_gemma":0.0002027137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000250747,"about_ca_topic_score_gemma":0.00005324303,"domain_scores_codex":[0.9952448,0.001033183,0.0003084269,0.000952845,0.001565571,0.0008951662],"domain_scores_gemma":[0.9994156,0.0002332585,0.00006872796,0.0001356462,0.00002931913,0.0001174029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002859299,0.001414361,0.9219192,0.00002022315,1.928235e-7,0.00007374732,0.0009915362,0.00001436735,0.007530313,0.0001353451,0.0001084704,0.06776369],"study_design_scores_gemma":[0.00152489,0.002337239,0.9752002,0.0001730271,0.00001043371,0.00003506121,0.003633714,0.0008822773,0.01019557,0.004119642,0.001244993,0.0006428898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996783,0.0008111028,4.121404e-7,0.001402296,0.0003044968,0.0004495635,0.00001833298,0.00005867175,0.0001720879],"genre_scores_gemma":[0.9994646,0.00007858114,0.00005343601,0.00004924109,0.00002442315,0.0003026965,0.000001298791,0.000006189882,0.00001947839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0671208,"threshold_uncertainty_score":0.9999323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6784383919713773,"score_gpt":0.5537225812513653,"score_spread":0.124715810720012,"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."}}