{"id":"W2904109511","doi":"10.1093/ije/dyy274","title":"Precision nutrition: hype or hope for public health interventions to reduce obesity?","year":2018,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Université de Montréal","keywords":"Psychological intervention; Obesity; Public health; Socioeconomic status; Population; Environmental health; Gerontology; Scale (ratio); Medicine; Intervention (counseling); Geography; Psychiatry; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001797167,0.0001206004,0.0003015129,0.000220145,0.00009035174,0.00002260731,0.0004951516,0.0001115282,0.0001387843],"category_scores_gemma":[0.006039018,0.0001028584,0.0003319023,0.00007652077,0.000125087,0.00001452703,0.000110283,0.00007914453,0.00001493933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007126994,"about_ca_system_score_gemma":0.0003093438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006965281,"about_ca_topic_score_gemma":0.00005663385,"domain_scores_codex":[0.9980919,0.00032613,0.0009071992,0.0002598202,0.000140109,0.0002748775],"domain_scores_gemma":[0.9971277,0.00021772,0.0005121502,0.0001968343,0.001607585,0.0003380018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006899557,0.00310431,0.01100698,0.0002227784,0.0006567458,0.00001895001,0.0001857121,0.00005715239,0.02550194,0.00442329,0.8419482,0.1059744],"study_design_scores_gemma":[0.003340766,0.006767549,0.01174683,0.0003889857,0.00003190168,0.0004343684,0.0001419897,0.00003552895,0.005865321,0.01010631,0.9609054,0.000235061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5079821,0.006442903,0.4042352,0.07407484,0.005803434,0.000777711,0.0003483042,0.00001561434,0.0003198644],"genre_scores_gemma":[0.9181621,0.002893142,0.0590564,0.01075999,0.007996083,0.00005690935,0.0002893397,0.00002673664,0.0007592824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.41018,"threshold_uncertainty_score":0.7229704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1228437903008532,"score_gpt":0.4363647864671165,"score_spread":0.3135209961662633,"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."}}