{"id":"W4386441671","doi":"10.31234/osf.io/uz9xc","title":"Decisions on a platter: Food biases and arousal alter reward learning","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Eating Disorders and Behaviors","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Arousal; Psychology; Cognitive psychology; Calorie; Cognition; Cognitive bias; Preference; Food choice; Reinforcement learning; Developmental psychology; Social psychology; Medicine; Neuroscience; Computer science; Artificial intelligence","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":[0.0003787995,0.0002705356,0.0002599293,0.0001110248,0.0002159286,0.0005297786,0.0001323891,0.0002604758,0.002342391],"category_scores_gemma":[0.001677782,0.0001619289,0.000167064,0.0000745814,0.0003887585,0.0001999401,0.0004615117,0.0007504598,0.0002161492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001701929,"about_ca_system_score_gemma":0.0001674414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003509193,"about_ca_topic_score_gemma":0.0007504702,"domain_scores_codex":[0.9997293,0.00008044173,0.00001466447,0.00008722761,0.00004703952,0.00004122585],"domain_scores_gemma":[0.999518,0.000131983,0.0001177733,0.00006470578,0.00003678052,0.0001307148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01175473,0.004215879,0.1104406,0.0002080704,0.0002280512,0.0001672499,0.001517566,0.001075634,0.8113077,0.001701582,0.0006278798,0.05675503],"study_design_scores_gemma":[0.0004387463,0.01739807,0.8577952,0.00006196635,0.0002159296,0.0004030542,0.0008224919,0.009905566,0.1039064,0.005492064,0.003470936,0.00008963873],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984342,0.0000217089,0.0008204991,0.00004333368,0.00001147295,0.00001503617,0.00003030896,0.000009048803,0.000614449],"genre_scores_gemma":[0.9969421,0.00003525261,0.001953391,0.0000904469,0.000009042271,0.00007846503,0.00007192532,0.00001360774,0.0008057583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002342391,"threshold_uncertainty_score":0.007836103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1578688927372845,"score_gpt":0.3871437854420884,"score_spread":0.2292748927048039,"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."}}