{"id":"W4290601748","doi":"10.3390/ijerph19159645","title":"The Top 100 Most Cited Scientific Papers in the Public, Environmental & Occupational Health Category of Web of Science: A Bibliometric and Visualized Analysis","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; University of Washington; U.S. Environmental Protection Agency; University of Minnesota; University of Toronto; Strong; World Health Organization; Harvard University; McMaster University; Wake Forest University","keywords":"Impact factor; Public health; Web of science; Environmental health; Bibliometrics; Quartile; Library science; MEDLINE; Medicine; Political science; Computer science; Law","routes":{"ca_aff":false,"ca_fund":true,"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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.006966256,0.000831051,0.002328497,0.1807549,0.001536946,0.005345114,0.0008748277,0.0009417336,0.005855315],"category_scores_gemma":[0.04031175,0.0002832861,0.00231508,0.16637,0.0007452477,0.002568289,0.0022591,0.0005619065,0.001283695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002329505,"about_ca_system_score_gemma":0.002898535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003965452,"about_ca_topic_score_gemma":0.003478508,"domain_scores_codex":[0.9901673,0.001664371,0.00224817,0.0007963583,0.004666463,0.0004574098],"domain_scores_gemma":[0.9644002,0.02035628,0.006392936,0.0009135512,0.006781508,0.00115556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001107967,0.0004824545,0.6748691,0.0288273,0.004030749,0.001213879,0.00385268,0.003755996,0.004985615,0.005389499,0.03217478,0.23931],"study_design_scores_gemma":[0.0001845002,0.000386155,0.9312765,0.002266483,0.002708477,0.002220222,0.00610132,0.01005274,0.002415344,0.006733651,0.03545962,0.0001950155],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8121054,0.04481818,0.005092956,0.001870197,0.0002935637,0.001640817,0.1117979,0.001234966,0.02114608],"genre_scores_gemma":[0.9184294,0.01762692,0.02104324,0.0001313311,0.0004491025,0.001890525,0.03737934,0.0001896683,0.002860549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8192451,"threshold_uncertainty_score":0.03684157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.14609590162936,"score_gpt":0.4532271700311054,"score_spread":0.3071312684017454,"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."}}