{"id":"W4378571919","doi":"10.1016/j.jclinepi.2023.05.021","title":"Use of GRADE in systematic reviews of health effects on pollutants and extreme temperatures: A cross-sectional survey","year":2023,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Impact","funders":"Fundamental Research Funds for the Central Universities; National University's Basic Research Foundation of China; Science and Technology Department of Gansu Province","keywords":"CINAHL; Pollutant; Environmental health; Medicine; Cochrane Library; Health effect; Cross-sectional study; Meta-analysis; Internal medicine; Pathology; Chemistry; Nursing; Psychological intervention","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07492341,0.00164515,0.01028551,0.02109681,0.001034029,0.004462419,0.003105376,0.003216666,0.001886015],"category_scores_gemma":[0.3620856,0.002989365,0.02252653,0.02529258,0.001335025,0.004936624,0.00496851,0.002055002,0.0002835282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002771824,"about_ca_system_score_gemma":0.005240132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01980987,"about_ca_topic_score_gemma":0.03544924,"domain_scores_codex":[0.7073808,0.1023662,0.1533679,0.01504753,0.01974289,0.002094648],"domain_scores_gemma":[0.5575553,0.253064,0.1449276,0.01930023,0.02243241,0.002720402],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001851615,0.0000548418,0.5226414,0.2030687,0.2475225,0.000220936,0.002345249,0.0004795239,0.0006268343,0.0004655762,0.00282484,0.01789801],"study_design_scores_gemma":[0.001385497,0.0008853159,0.6548278,0.0832278,0.241484,0.001533624,0.002148913,0.000846091,0.0007071994,0.000983288,0.01167555,0.000294877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1735361,0.7737787,0.004990176,0.001789784,0.0005494151,0.002035397,0.04115824,0.0002011386,0.001961008],"genre_scores_gemma":[0.845832,0.1296973,0.009775983,0.001927678,0.0002304247,0.003231433,0.008702544,0.0001311489,0.0004714366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9250766,"threshold_uncertainty_score":0.3962376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.76599085920647,"score_gpt":0.578478125559445,"score_spread":0.187512733647025,"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."}}