{"id":"W2070303833","doi":"10.1016/j.appet.2006.04.009","title":"Meal schemas during a preload decrease subsequent eating","year":2007,"lang":"en","type":"article","venue":"Appetite","topic":"Olfactory and Sensory Function Studies","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Meal; Psychology; Schema (genetic algorithms); Wine tasting; Feeling; Context (archaeology); Eating behavior; Preload; Developmental psychology; Social psychology; Medicine; Food science; Obesity; Internal medicine; Computer science; Biology","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":[0.0001981063,0.0001272417,0.0001182613,0.00007430587,0.0003810702,0.00002562425,0.00008421136,0.00004036349,0.0001700642],"category_scores_gemma":[0.0007157864,0.0001157064,0.00006180801,0.0002067492,0.00008806321,0.0001406732,0.00006824113,0.0001445461,0.0003468445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004127283,"about_ca_system_score_gemma":0.00001576515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009315308,"about_ca_topic_score_gemma":0.00001651491,"domain_scores_codex":[0.9988482,0.00004277044,0.000204559,0.0003220666,0.000239264,0.0003431487],"domain_scores_gemma":[0.9993824,0.0001786371,0.00006969389,0.0001873198,0.00002584793,0.0001560489],"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":[0.0001154488,0.00004888994,0.01253592,0.00003971255,0.000007003018,0.0001232653,0.00054804,0.00001344268,0.9830735,0.002851286,0.00005248775,0.0005910254],"study_design_scores_gemma":[0.000449363,0.0000382074,0.03288805,0.0001018571,0.000006490809,0.00006214091,0.0002797729,0.00002803734,0.950165,0.00005662183,0.01572723,0.0001972249],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807777,0.00006193289,0.0002816878,0.0001037377,0.0002729929,0.0001169515,0.000002745063,0.0001691507,0.01821307],"genre_scores_gemma":[0.9968238,0.00002732826,0.0002077673,0.0004069835,0.0001628087,0.000006093894,5.889025e-7,0.00001352324,0.002351048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03290848,"threshold_uncertainty_score":0.4718369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09067520083598213,"score_gpt":0.2742237211697535,"score_spread":0.1835485203337713,"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."}}