{"id":"W4376108393","doi":"10.1139/apnm-2023-0018","title":"The Canadian Food Intake Screener for assessing alignment of adults’ dietary intake with the 2019 Canada’s Food Guide healthy food choices recommendations: scoring system and construct validity","year":2023,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; Memorial University of Newfoundland; University of Guelph; University of British Columbia; University of Calgary; Université Laval; University of Waterloo","funders":"Health Canada; Ontario Ministry of Research and Innovation; Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Food intake; Medicine; Environmental health; Construct validity; Food group; Food choice; Food frequency questionnaire; Gerontology; Demography; Psychometrics; Clinical psychology; Internal medicine","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":[0.003453594,0.0006701055,0.0008854433,0.003654374,0.001682018,0.000786125,0.001487005,0.0004418247,0.004839839],"category_scores_gemma":[0.005610435,0.0006151388,0.001299169,0.003555345,0.0004135128,0.0005740925,0.001327634,0.001045979,0.0009138579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007376229,"about_ca_system_score_gemma":0.01412479,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8069678,"about_ca_topic_score_gemma":0.9202564,"domain_scores_codex":[0.9975327,0.0002804793,0.0002824185,0.0001861322,0.001487725,0.0002304411],"domain_scores_gemma":[0.9957466,0.0002930636,0.0007298885,0.0001362927,0.00279219,0.0003019716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001041611,0.0006340743,0.8375703,0.0008253027,0.0005908531,0.0002084091,0.0009380899,0.001365629,0.002302538,0.001757134,0.05473294,0.09803308],"study_design_scores_gemma":[0.00009551805,0.0001021049,0.9856236,0.00006776966,0.00004671602,0.00007749952,0.0001566531,0.001360156,0.0003546326,0.0001353869,0.01193664,0.00004333182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7854525,0.003439847,0.02128709,0.001304101,0.0003456374,0.01488587,0.1132124,0.001061337,0.05901122],"genre_scores_gemma":[0.7517575,0.002777834,0.1172379,0.0008446369,0.00006998827,0.01318365,0.07734443,0.0002445283,0.03653955],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1930322,"threshold_uncertainty_score":0.388338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03693892612785428,"score_gpt":0.2760964389734318,"score_spread":0.2391575128455775,"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."}}