{"id":"W6942413319","doi":"10.1371/journal.pone.0255415.t005","title":"Weighted mean daily intake of macro- and micronutrients across quartile categories of energy-dense, high-fat and low-fiber density (“obesogenic”) dietary pattern score generated from wPLS, and the simplified dietary pattern score (SDS) among Canadian adults from CCHS-Nutrition 2015 (<i>n</i> = 12,049).","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quartile; Micronutrient; Standard score; Dietary diversity; Reference Daily Intake","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009466498,0.001492652,0.001504593,0.001968094,0.001231138,0.001853825,0.003939896,0.001514796,0.05088865],"category_scores_gemma":[0.007812968,0.000681971,0.001715143,0.006260278,0.0003774729,0.0008063905,0.001510795,0.00170987,0.028485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004576722,"about_ca_system_score_gemma":0.007529678,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7741486,"about_ca_topic_score_gemma":0.8538221,"domain_scores_codex":[0.9993476,0.0000777926,0.00007074375,0.0002005424,0.0001705475,0.0001327131],"domain_scores_gemma":[0.997254,0.0005268177,0.0002607484,0.0003065635,0.001392733,0.0002593044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007236642,0.00001222139,0.005022758,0.0008153545,0.0001203297,0.00001766776,0.0000275574,0.000280164,0.00004472282,0.0003768407,0.9915062,0.00170384],"study_design_scores_gemma":[0.001021327,0.00003052469,0.08760418,0.001720481,0.000446084,0.0001061023,0.0003171605,0.00113912,0.0002667665,0.001462105,0.9057779,0.0001081191],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001135229,0.000053883,0.00002150133,0.00003811494,0.000009900384,0.000005060674,0.9995003,0.00002424395,0.0002335717],"genre_scores_gemma":[0.001022722,0.00009846014,0.0002321932,0.0000636792,0.000007191661,0.00006987506,0.9976225,0.00002283849,0.0008605199],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2258514,"threshold_uncertainty_score":0.4543629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411766124256609,"score_gpt":0.1973414761417547,"score_spread":0.1832238148991886,"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."}}