{"id":"W2893215755","doi":"10.1159/000492297","title":"&lt;b&gt;&lt;i&gt;Lifestyle Genomics&lt;/i&gt;&lt;/b&gt;: Addressing the Multifactorial Nature of Personalized Health","year":2018,"lang":"en","type":"editorial","venue":"Lifestyle Genomics","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; University of Guelph","funders":"","keywords":"Medicine; Gerontology","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":[0.007638666,0.002805005,0.002551812,0.002123325,0.003003443,0.006707694,0.003326618,0.01670701,0.01486028],"category_scores_gemma":[0.02386444,0.001039585,0.001810532,0.001014858,0.00299858,0.004178671,0.00158714,0.02943462,0.01225219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003412044,"about_ca_system_score_gemma":0.003279702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003178662,"about_ca_topic_score_gemma":0.01217425,"domain_scores_codex":[0.9956639,0.001004353,0.0004568358,0.0004855938,0.002088713,0.0003005469],"domain_scores_gemma":[0.9801952,0.009358664,0.0009851578,0.0004998051,0.006226673,0.002734535],"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":[0.00001945223,0.000007120826,0.00001589166,0.00007569798,0.000007669593,0.00005126775,0.000009352709,0.00001123171,0.00002202185,0.0004567559,0.9954185,0.003905039],"study_design_scores_gemma":[0.0000553121,0.00001954758,0.0002455575,0.00033647,0.00003210339,0.0001582849,0.00003961846,0.0001040028,0.00007324771,0.001780522,0.9971374,0.00001782811],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0000185221,0.005040766,0.0001148932,0.07007745,0.9230965,0.000009376021,0.00003047342,0.00003632134,0.001575765],"genre_scores_gemma":[0.0003519574,0.004217639,0.0001453961,0.03817399,0.942983,0.00001628774,0.00002113943,0.00003405364,0.01405662],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01670701,"threshold_uncertainty_score":0.04971254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246723110696195,"score_gpt":0.2744974960535667,"score_spread":0.2620302649466047,"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."}}