{"id":"W4220750305","doi":"10.1016/j.jand.2022.03.010","title":"Using Short-Term Dietary Intake Data to Address Research Questions Related to Usual Dietary Intake among Populations and Subpopulations: Assumptions, Statistical Techniques, and Considerations","year":2022,"lang":"en","type":"article","venue":"Journal of the Academy of Nutrition and Dietetics","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Statistical inference; Percentile; Statistics; Inference; Term (time); Estimation; Variance (accounting); Skewness; Econometrics; Population; Mathematics; Medicine; Computer science; Environmental health","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5159124,0.001973452,0.0048752,0.004489214,0.00260455,0.006059032,0.007507,0.003696086,0.001724723],"category_scores_gemma":[0.6569345,0.001796526,0.005291527,0.007710974,0.008662221,0.006692949,0.005641379,0.007932536,0.0005829092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002365912,"about_ca_system_score_gemma":0.004568754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01031218,"about_ca_topic_score_gemma":0.01029052,"domain_scores_codex":[0.4547099,0.4748119,0.02738679,0.009957734,0.03146235,0.001671275],"domain_scores_gemma":[0.2273289,0.6473316,0.02210893,0.08146176,0.0203115,0.001457414],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.005645221,0.001899654,0.646911,0.00438509,0.01963905,0.001343884,0.01019821,0.01752798,0.003551853,0.06120945,0.009641279,0.2180474],"study_design_scores_gemma":[0.001344051,0.01065198,0.5443767,0.003221203,0.006903362,0.002276358,0.01002351,0.2035681,0.01199472,0.1695506,0.03528018,0.00080921],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1287213,0.00217188,0.8506889,0.003298178,0.0009307402,0.005948747,0.002693633,0.0005787864,0.004967699],"genre_scores_gemma":[0.4802005,0.0007050057,0.4987984,0.00259402,0.0005194713,0.01304772,0.00218031,0.0002841606,0.001670399],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4840876,"threshold_uncertainty_score":0.5969663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3560173769722558,"score_gpt":0.4723956329173493,"score_spread":0.1163782559450935,"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."}}