{"id":"W6923547538","doi":"10.1371/journal.pone.0284625.s001","title":"PRISMA 2020 checklist.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Systematic review; MEDLINE; Pregnancy; Prenatal exposure; Risk assessment; Prenatal care; Exposure assessment","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":[0.07625183,0.004759456,0.009231232,0.01546664,0.002836501,0.007582285,0.01012232,0.004786616,0.3699673],"category_scores_gemma":[0.1713834,0.00520707,0.01536427,0.01543039,0.003316261,0.004421192,0.005620263,0.00791945,0.03317071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009786597,"about_ca_system_score_gemma":0.05209761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01323078,"about_ca_topic_score_gemma":0.01834944,"domain_scores_codex":[0.9403678,0.02789146,0.02189137,0.004123301,0.004412945,0.001313148],"domain_scores_gemma":[0.8793791,0.07648524,0.01039779,0.01046904,0.02191269,0.001356161],"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":[0.002314844,0.0001841029,0.0005446575,0.537282,0.002165819,0.0001976213,0.001073504,0.001370558,0.0002718989,0.01089671,0.3983869,0.0453115],"study_design_scores_gemma":[0.01424896,0.0004288011,0.003496368,0.1783857,0.004390897,0.0003436214,0.002047896,0.002627026,0.0007498684,0.0344575,0.7583869,0.0004364903],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001125893,0.007145802,0.02066512,0.007970562,0.004909355,0.3521495,0.5868114,0.007446643,0.01177575],"genre_scores_gemma":[0.001654146,0.002079963,0.0592172,0.0009600847,0.0001439487,0.909736,0.02106208,0.0006820817,0.004464592],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9237482,"threshold_uncertainty_score":0.8986652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0749164264284396,"score_gpt":0.3217280303361686,"score_spread":0.246811603907729,"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."}}