{"id":"W4400148974","doi":"10.1016/j.cdnut.2024.103151","title":"Development, Implementation, and Validation of 2-Item Nutrition Security Screener","year":2024,"lang":"en","type":"article","venue":"Current Developments in Nutrition","topic":"Nutrition, Health and Food Behavior","field":"Nursing","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Echo Foundation; Kaiser Permanente","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02978638,0.0008657512,0.001035697,0.00172746,0.0009895256,0.001271516,0.001803223,0.001456628,0.003086084],"category_scores_gemma":[0.02445612,0.0009813089,0.001375068,0.0007002108,0.0005953622,0.001206863,0.001965611,0.001772724,0.001849905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009298964,"about_ca_system_score_gemma":0.004867484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003680414,"about_ca_topic_score_gemma":0.006247908,"domain_scores_codex":[0.9861871,0.005708511,0.001778687,0.001449639,0.004239287,0.0006366752],"domain_scores_gemma":[0.981014,0.006299555,0.001263304,0.001790612,0.009038402,0.0005942414],"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":[0.002712292,0.01189936,0.486642,0.0007798985,0.0002553352,0.000240751,0.005266392,0.00157204,0.02296079,0.001747101,0.01481051,0.4511135],"study_design_scores_gemma":[0.001035321,0.01275994,0.8850326,0.0008101938,0.0003823774,0.0009888172,0.003453675,0.01040877,0.03787199,0.001236075,0.04581612,0.00020413],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8691715,0.000849871,0.07762319,0.001987741,0.000867159,0.03209909,0.004359665,0.001738093,0.01130369],"genre_scores_gemma":[0.5982651,0.00139315,0.3289701,0.001960522,0.0001750917,0.04225953,0.01084084,0.000437288,0.01569831],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02978638,"threshold_uncertainty_score":0.1575273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0400621475813081,"score_gpt":0.3761396178962266,"score_spread":0.3360774703149185,"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."}}