{"id":"W4281295106","doi":"10.3389/fendo.2022.882532","title":"Thrifty-Eating Behavior Phenotype at the Food Court – Programming Goes Beyond Food Preferences","year":2022,"lang":"en","type":"article","venue":"Frontiers in Endocrinology","topic":"Birth, Development, and Health","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; University of Toronto; McMaster University; McGill University; Douglas Mental Health University Institute","funders":"Fundação Instituto de Pesquisas Econômicas; Hospital de Clínicas de Porto Alegre; Harvard University; Conselho Nacional de Desenvolvimento Científico e Tecnológico; University of Toronto; Canadian Institutes of Health Research; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; JPB Foundation","keywords":"Phenotype; Eating behavior; Food intake; Feeding behavior; Food science; Psychology; Medicine; Biology; Obesity; Genetics; Endocrinology; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000108814,0.0004718789,0.0002639974,0.000450702,0.0003855893,0.0003580678,0.0002322238,0.0002358599,0.004052494],"category_scores_gemma":[0.0003706964,0.0001423083,0.0002253272,0.0002589123,0.0005942525,0.0001549821,0.0004559691,0.0004228754,0.000221974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003158013,"about_ca_system_score_gemma":0.0004854833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01377357,"about_ca_topic_score_gemma":0.0182308,"domain_scores_codex":[0.9998955,0.000009337872,0.000006700235,0.00004187587,0.00002533226,0.00002126692],"domain_scores_gemma":[0.9996452,0.00002809514,0.0001673999,0.00002421251,0.00002596015,0.0001090895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001058867,0.0003899517,0.7558128,0.0001722744,0.0001880245,0.00891555,0.002717054,0.0001216138,0.2066144,0.001113735,0.0008948963,0.0220008],"study_design_scores_gemma":[0.000007202602,0.0001270815,0.9938963,0.00002649271,0.0000268273,0.00286397,0.0003432667,0.00007819906,0.00180509,0.000187195,0.0006321222,0.000006295356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987675,0.00009585066,0.0001585033,0.00007494295,0.000004220608,0.000007106687,0.0003103678,0.00001458787,0.0005670289],"genre_scores_gemma":[0.998223,0.0001659182,0.0004378843,0.00004648662,0.000003579126,0.00001764547,0.000246344,0.00001279596,0.0008463255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01377357,"threshold_uncertainty_score":0.02738678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02913635176575664,"score_gpt":0.2820849214087195,"score_spread":0.2529485696429629,"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."}}