{"id":"W6923408337","doi":"10.1371/journal.pone.0289470.s001","title":"PRISMA 2020 checklist.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brownfield; Public health; Land use; Scopus; Epidemiology; Inclusion (mineral); Geographic information system","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":[0.08994481,0.004847438,0.01002758,0.01924252,0.002940782,0.008392925,0.01085627,0.004840866,0.311736],"category_scores_gemma":[0.1916463,0.005890496,0.01630655,0.02100684,0.003702309,0.005062959,0.006306581,0.008217933,0.03073562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01037405,"about_ca_system_score_gemma":0.05016408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01243178,"about_ca_topic_score_gemma":0.01678314,"domain_scores_codex":[0.926635,0.03392128,0.02813769,0.004522065,0.005255562,0.001528466],"domain_scores_gemma":[0.8397497,0.1027616,0.01435209,0.01324725,0.02821052,0.001678886],"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":[0.001676005,0.000159559,0.0004963537,0.6480348,0.002039554,0.0001924233,0.001364484,0.001145742,0.0003046236,0.01060336,0.2968777,0.03710534],"study_design_scores_gemma":[0.01109362,0.0003570038,0.003723914,0.266213,0.004503265,0.0003216095,0.002790888,0.002286628,0.0008565757,0.03164027,0.6757549,0.0004584076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.001059598,0.007357371,0.01904882,0.007686832,0.003989375,0.3682328,0.5773793,0.00586486,0.009380938],"genre_scores_gemma":[0.001593001,0.002218788,0.05272134,0.0009431035,0.0001258126,0.9178903,0.02072976,0.0005654892,0.00321238],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9100552,"threshold_uncertainty_score":0.981725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05574907158180283,"score_gpt":0.3408785028681949,"score_spread":0.2851294312863921,"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."}}