{"id":"W6885887674","doi":"10.1371/journal.pone.0288063.s001","title":"PRISMA checklist.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Odds; Food insecurity; Scopus; Systematic review; Scale (ratio); Food security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.06196209,0.003941517,0.007674091,0.01300788,0.0027546,0.006965686,0.007437002,0.00400097,0.3712184],"category_scores_gemma":[0.1498537,0.004706674,0.01394236,0.01249205,0.00237708,0.00416089,0.005464232,0.007308425,0.03458657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00884559,"about_ca_system_score_gemma":0.04868761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01147397,"about_ca_topic_score_gemma":0.0187919,"domain_scores_codex":[0.9579772,0.0181372,0.01636816,0.002973597,0.003537356,0.001006463],"domain_scores_gemma":[0.8683334,0.07969774,0.01148942,0.0109004,0.0280812,0.001497778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00237363,0.0003194322,0.0007285713,0.4379826,0.001987151,0.0001964389,0.001110066,0.001196355,0.0003054737,0.009900375,0.4818676,0.06203226],"study_design_scores_gemma":[0.01432065,0.0004314508,0.004783177,0.1832632,0.003336858,0.0003082881,0.002156158,0.002090814,0.0006647645,0.02985379,0.7583338,0.0004571136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001364826,0.006891296,0.01860677,0.008728287,0.00428917,0.379676,0.5618476,0.006223654,0.0123724],"genre_scores_gemma":[0.002081252,0.002499377,0.05609087,0.001196003,0.0001435445,0.9089629,0.02336362,0.000605429,0.005057005],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6287817,"threshold_uncertainty_score":0.8968807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3834896523175577,"score_gpt":0.5084765213357848,"score_spread":0.1249868690182271,"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."}}