{"id":"W2431859568","doi":"10.1017/s0033291716000866","title":"Steep discounting of delayed monetary and food rewards in obesity: a meta-analysis","year":2016,"lang":"en","type":"review","venue":"Psychological Medicine","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":275,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Homewood Research Institute; St. Joseph’s Healthcare Hamilton","funders":"National Institute on Drug Abuse; National Institutes of Health","keywords":"Meta-analysis; Publication bias; Meta-regression; Sample size determination; Delay discounting; Obesity; Psychology; Random effects model; Regression analysis; Statistics; Demography; Econometrics; Medicine; Economics; Clinical psychology; Mathematics; Internal medicine; Impulsivity","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":[0.02233623,0.002634821,0.01063504,0.005337076,0.0005418435,0.004101409,0.001752704,0.001913115,0.002412434],"category_scores_gemma":[0.04637915,0.001356718,0.03942165,0.004535737,0.0008000272,0.001962441,0.001272908,0.002409541,0.0001662346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002107479,"about_ca_system_score_gemma":0.00201767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00342058,"about_ca_topic_score_gemma":0.004910778,"domain_scores_codex":[0.9903314,0.005504339,0.001983196,0.0009745913,0.0009537265,0.0002526843],"domain_scores_gemma":[0.9606801,0.03091358,0.005585856,0.001075008,0.00139687,0.0003486512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.007503588,0.0001045191,0.01338231,0.1263792,0.8298199,0.0001699065,0.0001248403,0.001225623,0.0002544867,0.0002548353,0.0003437967,0.02043704],"study_design_scores_gemma":[0.001447614,0.0006598502,0.009329869,0.01556725,0.9705982,0.0001677865,0.0000540216,0.0005640745,0.0001838346,0.000476134,0.0009135393,0.00003792215],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02143997,0.975925,0.001223975,0.000276164,0.0002014742,0.0002527234,0.0003057291,0.00003008975,0.0003449855],"genre_scores_gemma":[0.452505,0.53882,0.005705,0.0007413386,0.000420458,0.0009354268,0.0005383071,0.00003568494,0.0002987467],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02233623,"threshold_uncertainty_score":0.1181267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5675461112680579,"score_gpt":0.5435027870232559,"score_spread":0.02404332424480193,"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."}}