{"id":"W2789054649","doi":"10.1186/s12877-018-0708-4","title":"Construct validity of the Dining Environment Audit Protocol: a secondary data analysis of the Making Most of Mealtimes (M3) study","year":2018,"lang":"en","type":"article","venue":"BMC Geriatrics","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton; Simon Fraser University; University of Manitoba; University of Alberta; Conestoga College; Research Institute for Aging; University of Waterloo","funders":"Institute of Nutrition, Metabolism and Diabetes; Canadian Institutes of Health Research","keywords":"Checklist; Summative assessment; Protocol (science); Medicine; Scale (ratio); Construct validity; Audit; Construct (python library); Applied psychology; Gerontology; Formative assessment; Psychology; Psychometrics; Clinical psychology; Computer science; Pathology; Cartography; Alternative medicine; Geography","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":[0.001226423,0.000108988,0.0004696806,0.0001308306,0.0001331891,0.000005845138,0.0004347755,0.00005311502,0.0003813104],"category_scores_gemma":[0.0003763915,0.0000669629,0.000122251,0.0009412089,0.0002390414,0.00004232567,0.0005159925,0.0001675855,0.000001206804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005258943,"about_ca_system_score_gemma":0.000394289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006509302,"about_ca_topic_score_gemma":0.0001155878,"domain_scores_codex":[0.9981056,0.0002734559,0.0007092158,0.0002561888,0.0004974866,0.0001580578],"domain_scores_gemma":[0.9975097,0.0002171967,0.0008090044,0.001319361,0.0001064679,0.00003824334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001173111,0.0003593378,0.9954054,0.0005835241,0.0002139431,4.930673e-7,0.0007748986,0.00001259229,0.0004910078,0.00005884763,0.001014296,0.0009683257],"study_design_scores_gemma":[0.002473417,0.0003100714,0.9857341,0.0001955709,0.0017593,0.000004635029,0.001354799,0.001670458,0.001715963,0.00007002906,0.004616124,0.00009551707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614925,0.00006434871,0.001034507,0.0004690507,0.0003426159,0.03477019,0.0005092905,0.00002203662,0.001295446],"genre_scores_gemma":[0.9933407,0.000004122471,0.005735872,0.0001299066,0.0001389419,0.0005893498,0.00001220045,0.00001187102,0.00003704909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03418084,"threshold_uncertainty_score":0.4175082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1472385943921169,"score_gpt":0.3927020903178007,"score_spread":0.2454634959256839,"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."}}