{"id":"W2921547692","doi":"","title":"Developing and Assessing the Validity and Reliability of an Iranian Food Security Questionnaire.","year":2019,"lang":"en","type":"article","venue":"PubMed","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Food security; Cronbach's alpha; Face validity; Construct validity; Content validity; Cluster sampling; Environmental health; Reliability (semiconductor); Poverty; Anthropometry; Medicine; Psychology; Questionnaire; Clinical psychology; Psychometrics; Geography; Population; Statistics; Agriculture","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":[],"consensus_categories":[],"category_scores_codex":[0.01494058,0.0005148781,0.0004273368,0.001692691,0.0005055016,0.0005867776,0.0006361945,0.0003950723,0.0008018841],"category_scores_gemma":[0.01778176,0.0004061091,0.0009808032,0.0008374142,0.000548017,0.0009218626,0.0008203701,0.000800714,0.0001687914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007292273,"about_ca_system_score_gemma":0.003209455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00385931,"about_ca_topic_score_gemma":0.004268123,"domain_scores_codex":[0.9967825,0.001466943,0.0005542708,0.0001792255,0.0008201744,0.0001967711],"domain_scores_gemma":[0.9911505,0.003072769,0.001447521,0.0003450828,0.003561087,0.0004231374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002626392,0.0007606421,0.8368341,0.0004625473,0.0002758385,0.0001514981,0.002946053,0.0009282464,0.002052798,0.0008199476,0.003391501,0.151114],"study_design_scores_gemma":[0.000168771,0.001523386,0.9852574,0.0003243382,0.0001151496,0.0002835186,0.003118314,0.002975768,0.0009796441,0.0005388477,0.00467587,0.00003898517],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9876699,0.0007704346,0.005550069,0.0007496399,0.0001940714,0.001932644,0.0007099093,0.00004355312,0.002379798],"genre_scores_gemma":[0.9691494,0.0005512706,0.0268168,0.0001585954,0.00004292124,0.001570579,0.001299439,0.000007627129,0.0004033563],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01494058,"threshold_uncertainty_score":0.07901424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1799815568858181,"score_gpt":0.4212074515433609,"score_spread":0.2412258946575428,"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."}}