{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004705628,0.0002310837,0.0002574843,0.0007545528,0.0001532268,0.00008715718,0.00009749021,0.0001256466,0.00005269016],"category_scores_gemma":[0.00002528749,0.0002637064,0.00004341477,0.0007404978,0.00005577134,0.0006191378,0.00004078044,0.0002350982,0.0000164592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003615633,"about_ca_system_score_gemma":0.0001129389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001906085,"about_ca_topic_score_gemma":0.00004859996,"domain_scores_codex":[0.9977376,0.0001048697,0.0009202047,0.0004720219,0.0003919924,0.0003732546],"domain_scores_gemma":[0.999387,0.00007407378,0.0001371257,0.0001191473,0.0001628947,0.0001197842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006925441,0.004523557,0.1592473,0.02768078,0.00006476033,0.0000174895,0.009065405,9.065969e-7,0.01320695,0.00244245,0.01266129,0.7703966],"study_design_scores_gemma":[0.0106635,0.0003302901,0.1656669,0.01326942,0.0001267663,0.00005836179,0.003022769,0.0001537404,0.4035561,0.008993607,0.3928297,0.001328761],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892803,0.006765829,0.0002091072,0.0003173053,0.001761696,0.001364244,0.00009350413,0.0001334716,0.00007449006],"genre_scores_gemma":[0.9903611,0.001388401,0.005806583,0.00003732687,0.0001709905,0.0005399172,0.001660157,0.00003082459,0.000004715386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7690678,"threshold_uncertainty_score":0.9999815,"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."}}