{"id":"W1981861276","doi":"10.4236/health.2014.63032","title":"A disregard for calories during sampling: Exploring the “samples don’t count” effect","year":2014,"lang":"en","type":"article","venue":"Health","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Calorie; Consumption (sociology); Sampling (signal processing); Caloric theory; Sample (material); Product (mathematics); Food consumption; Caloric intake; Promotion (chess); Variance (accounting); Analysis of variance; Environmental health; Demography; Statistics; Medicine; Mathematics; Body weight; Economics; Agricultural economics; Sociology; Computer science; Social science","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":[0.0007463805,0.0001359944,0.0003244721,0.0000394025,0.0004517135,0.00003463496,0.00007648004,0.00002672111,0.00001080752],"category_scores_gemma":[0.0002901913,0.00008657172,0.0000923809,0.00008118108,0.00004377664,0.00004908666,0.00003661096,0.0001604347,0.000007122821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009246644,"about_ca_system_score_gemma":0.00008752635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003921494,"about_ca_topic_score_gemma":0.0003540121,"domain_scores_codex":[0.9989044,0.00004876185,0.0002411883,0.0002279568,0.0001709416,0.000406749],"domain_scores_gemma":[0.9988631,0.0005577431,0.00006797349,0.00030952,0.00004777782,0.0001539036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003572723,0.0003468445,0.5300618,0.02038149,0.001165141,0.000008895408,0.01626886,0.0001674357,0.005397726,0.02271502,0.001704295,0.3982097],"study_design_scores_gemma":[0.009217712,0.003976508,0.5010837,0.002190577,0.0006260402,0.0001164289,0.001075218,0.001444038,0.002357617,0.0006326084,0.4765733,0.0007063021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841321,0.002600515,0.006006686,0.005650117,0.0004843044,0.000903265,0.00001180185,0.0001240789,0.0000871251],"genre_scores_gemma":[0.9969018,0.0001946771,0.001351603,0.0007040088,0.0004931348,0.0002380366,0.00001531973,0.00003072553,0.00007073207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.474869,"threshold_uncertainty_score":0.3530293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09468268197441986,"score_gpt":0.3470022153695379,"score_spread":0.252319533395118,"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."}}