{"id":"W2762952722","doi":"10.3390/nu9101092","title":"Socioeconomic Inequities in Diet Quality and Nutrient Intakes among Australian Adults: Findings from a Nationally Representative Cross-Sectional Study","year":2017,"lang":"en","type":"article","venue":"Nutrients","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Socioeconomic status; Nutrient; Disadvantaged; Environmental health; Medicine; Cross-sectional study; Saturated fat; Health Survey for England; Demography; Gerontology; Biology; Population; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003800154,0.0001843412,0.0003892941,0.000102156,0.0005353322,0.0001809167,0.0001549999,0.0001021863,0.0001925542],"category_scores_gemma":[0.0003816196,0.000177882,0.00008483882,0.00004060134,0.0004171405,0.0003556115,0.0002062126,0.0002327886,0.00002241015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002618993,"about_ca_system_score_gemma":0.00003854792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006562907,"about_ca_topic_score_gemma":0.001022094,"domain_scores_codex":[0.9982097,0.0000511048,0.0005715139,0.0005240663,0.0003980243,0.0002456254],"domain_scores_gemma":[0.9989892,0.0001775749,0.0002432495,0.0002795068,0.00019016,0.0001202938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002472162,0.001065887,0.9933311,0.00004266555,0.0001406986,0.00002354847,0.001442839,6.080649e-7,0.00001769003,0.0004284358,0.001011847,0.00002253186],"study_design_scores_gemma":[0.009970609,0.00046935,0.9808975,0.0001022014,0.00002010757,0.000001549804,0.004011122,0.00000850863,0.00008065032,0.004011056,0.0002633324,0.0001640362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968536,0.00006577186,0.000001673472,0.0008805966,0.0002558154,0.0008292905,0.0004487988,0.00002318456,0.0006411991],"genre_scores_gemma":[0.9986239,0.00006631507,0.00008200736,0.0001238604,0.0002391176,0.0001767713,0.0001891077,0.00001334988,0.0004855724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01243361,"threshold_uncertainty_score":0.9921196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06559859562685223,"score_gpt":0.3885802529804722,"score_spread":0.32298165735362,"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."}}