{"id":"W6923395984","doi":"10.1371/journal.pone.0308699.s002","title":"PRISMA 2020 checklist.","year":2024,"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":"Observational study; Food security; Population; Pandemic; Systematic review; Grey literature; Food insecurity","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.07585028,0.004574375,0.008507066,0.01666774,0.002644779,0.007851991,0.009731334,0.004606856,0.3563029],"category_scores_gemma":[0.166855,0.005940729,0.01457862,0.01720942,0.003023998,0.004802516,0.006358889,0.008385408,0.03512138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009492938,"about_ca_system_score_gemma":0.0449823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01309523,"about_ca_topic_score_gemma":0.01671392,"domain_scores_codex":[0.9422223,0.02786927,0.02087263,0.003825016,0.003964636,0.001246162],"domain_scores_gemma":[0.8602352,0.09050022,0.01280666,0.01086924,0.02393221,0.001656478],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0015633,0.0001529676,0.0004769237,0.5593548,0.001737337,0.0001811853,0.001191481,0.001249935,0.0002883205,0.0110527,0.3836409,0.03911021],"study_design_scores_gemma":[0.009770888,0.0003008909,0.00320961,0.2216556,0.002954878,0.0003171804,0.002185029,0.002080725,0.0007559514,0.03231544,0.724034,0.000419856],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.000914919,0.006844631,0.01698343,0.009772114,0.004187363,0.2984475,0.6475099,0.005657081,0.009683208],"genre_scores_gemma":[0.001712855,0.002900257,0.05822615,0.001409578,0.0001747813,0.9007034,0.02935921,0.0006763522,0.00483735],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9241498,"threshold_uncertainty_score":0.9181558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.232186905096029,"score_gpt":0.4881461113518846,"score_spread":0.2559592062558556,"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."}}