{"id":"W3215608247","doi":"10.1139/apnm-2020-0950","title":"Development of an optimal grocery list based on actual intake from a cross-sectional study of First Nations adults in Ontario, Canada","year":2021,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Assembly of First Nations; University of Ottawa; University of Alberta; Université Laval; Université de Montréal","funders":"Canadian Institutes of Health Research; Indigenous Services Canada","keywords":"Market basket; Nutrient; Environmental health; Public health; Food group; Cross-sectional study; Medicine; Agricultural science; Biology; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001300566,0.0004370737,0.0003753838,0.0006987463,0.00101758,0.0006897489,0.0009436057,0.0003016421,0.002036261],"category_scores_gemma":[0.00234575,0.0004527054,0.0007258066,0.001343912,0.0002239777,0.0002795447,0.0004775572,0.0002926805,0.0002946589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01372737,"about_ca_system_score_gemma":0.01198504,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9796209,"about_ca_topic_score_gemma":0.9848407,"domain_scores_codex":[0.999622,0.00009538349,0.00002660618,0.00008205165,0.00009328062,0.00008063723],"domain_scores_gemma":[0.9992799,0.0001076218,0.00009956839,0.00003793605,0.0003826901,0.00009226292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001379803,0.00007064116,0.9877571,0.0000680814,0.00008615114,0.00007053185,0.0006596416,0.001893044,0.0003439696,0.0001593658,0.001810318,0.006943249],"study_design_scores_gemma":[0.00002840392,0.00006363932,0.9899225,0.00002969291,0.00004843688,0.00002105902,0.001003609,0.007721642,0.00006792874,0.00006505406,0.001017787,0.00001019096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878811,0.0001912383,0.002305726,0.0002133178,0.000006593454,0.0003763007,0.007659947,0.00002797373,0.001337849],"genre_scores_gemma":[0.9876356,0.0001882155,0.005119677,0.00007111459,0.000004019946,0.0002669374,0.005293174,0.00001134028,0.001409965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02037913,"threshold_uncertainty_score":0.09959948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06552245003741392,"score_gpt":0.3550151871594233,"score_spread":0.2894927371220093,"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."}}