{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03030218,0.001672947,0.002384049,0.001801254,0.0029122,0.009715149,0.003495186,0.01794519,0.01505158],"category_scores_gemma":[0.05908235,0.0006475562,0.002131217,0.001404418,0.02734433,0.02430645,0.01030823,0.02883423,0.004642593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004318705,"about_ca_system_score_gemma":0.01019586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003726251,"about_ca_topic_score_gemma":0.003898059,"domain_scores_codex":[0.9849861,0.009086612,0.0007061691,0.001632843,0.002642751,0.0009454364],"domain_scores_gemma":[0.9190816,0.06349726,0.003410205,0.0045613,0.004832625,0.004617145],"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":[0.0006294491,0.0003723644,0.00168225,0.004066175,0.0003452134,0.0006583749,0.0030184,0.0008651543,0.0009237791,0.3336449,0.3367575,0.3170364],"study_design_scores_gemma":[0.0002159753,0.0002969315,0.00126449,0.004904419,0.0001624281,0.000445393,0.003248487,0.0005640162,0.0003836866,0.5026692,0.4857443,0.0001007667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003360399,0.04984234,0.001818547,0.9404636,0.004604836,0.00001103098,0.00003460494,0.00004756034,0.002841395],"genre_scores_gemma":[0.0455974,0.1499517,0.0106872,0.7610597,0.02721372,0.0002382326,0.0001131203,0.000115088,0.005023676],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03030218,"threshold_uncertainty_score":0.1602552,"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."}}