{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001923186,0.0003394888,0.000464104,0.0001498435,0.0002728064,0.0008411826,0.0002344519,0.0003697724,0.004350702],"category_scores_gemma":[0.001871363,0.0002668949,0.0001480258,0.0001063107,0.000275819,0.000361447,0.0004000768,0.0007928201,0.0003063952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004167096,"about_ca_system_score_gemma":0.0003193214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001560392,"about_ca_topic_score_gemma":0.003650304,"domain_scores_codex":[0.999899,0.00001485418,0.000007090929,0.00003107051,0.0000316948,0.00001631075],"domain_scores_gemma":[0.9994078,0.0002067204,0.0001323704,0.00007567718,0.00003784831,0.0001395414],"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":[0.112412,0.01113785,0.09075838,0.0006426462,0.0006565182,0.0004523886,0.001509626,0.0004205003,0.7337632,0.001724919,0.001324304,0.04519773],"study_design_scores_gemma":[0.0006023804,0.00621545,0.9489586,0.00006532074,0.0002527401,0.0002725212,0.0008180275,0.001240037,0.03892125,0.0007488391,0.001868418,0.00003656656],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986855,0.0001082137,0.0002096578,0.00004060373,0.00001954211,0.000016867,0.0001098024,0.000008565241,0.0008012213],"genre_scores_gemma":[0.9957699,0.0002059438,0.000857214,0.0001177151,0.00001268275,0.00007699365,0.0003736707,0.00003508753,0.00255072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004350702,"threshold_uncertainty_score":0.0145545,"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."}}