{"id":"W2975075995","doi":"10.1002/hpja.298","title":"An evaluation of <i>SecondBite<sup>®</sup>'s FoodMate<sup>®</sup></i>, a nutrition education and skill‐building program aimed at reducing food insecurity","year":2019,"lang":"en","type":"article","venue":"Health Promotion Journal of Australia","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Health and Medical Research Council","keywords":"Thematic analysis; Nutrition Education; Descriptive statistics; Qualitative property; Qualitative research; Promotion (chess); Psychology; Health promotion; Medical education; Gerontology; Medicine; Environmental health; Public health; Nursing; Social science; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00765039,0.000366537,0.0008825161,0.0007620922,0.001142684,0.00004596353,0.0002864039,0.000541454,0.001150174],"category_scores_gemma":[0.0004021616,0.0003727907,0.0001744237,0.0006347265,0.0001154142,0.001376174,0.00008479989,0.001412663,0.00005234418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648929,"about_ca_system_score_gemma":0.00241743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004455906,"about_ca_topic_score_gemma":0.0001345009,"domain_scores_codex":[0.991341,0.003157726,0.002822261,0.0005360539,0.001246103,0.0008968634],"domain_scores_gemma":[0.9931073,0.000213905,0.003063153,0.0005065073,0.002307217,0.0008018866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003140779,0.03830127,0.364019,0.06794542,0.0009293398,0.00001024235,0.33627,0.02638891,0.003578607,0.0270889,0.03247527,0.09985226],"study_design_scores_gemma":[0.04616843,0.06557029,0.5247958,0.04582325,0.001631293,0.0008689557,0.1085157,0.1251049,0.002414758,0.04090806,0.03491325,0.003285259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878844,0.0008356289,0.00005234502,0.003452644,0.00106123,0.006430944,0.0001144759,0.00007622361,0.00009210187],"genre_scores_gemma":[0.9923579,0.0003161888,0.00560659,0.0002529063,0.0007339876,0.000354374,0.0002275756,0.00004899278,0.0001014628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2277543,"threshold_uncertainty_score":0.9998724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2137767299674478,"score_gpt":0.503445738119504,"score_spread":0.2896690081520562,"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."}}