{"id":"W4404965830","doi":"10.1007/s44197-024-00331-4","title":"Global Trends and Hotspots in the Research of the Effects of PM2.5 on Asthma: A Bibliometric and Visualized Analysis","year":2024,"lang":"en","type":"article","venue":"Journal of Epidemiology and Global Health","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asthma; Medicine; Public health; Bibliometrics; China; Urbanization; Environmental health; Regional science; Geography; Economic growth; Library science; Pathology","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007278097,0.0006338309,0.001272069,0.155503,0.001147719,0.005620748,0.0006303795,0.0005611746,0.003045206],"category_scores_gemma":[0.02598781,0.0002266629,0.001802556,0.2036357,0.0008623917,0.003829603,0.002795011,0.0004683009,0.0003570107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002059739,"about_ca_system_score_gemma":0.00259793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005505254,"about_ca_topic_score_gemma":0.007712937,"domain_scores_codex":[0.9926127,0.00179883,0.001585603,0.000958767,0.002706147,0.0003378649],"domain_scores_gemma":[0.9615299,0.02331648,0.007117835,0.001491659,0.005793639,0.0007504909],"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":[0.0004064555,0.00008820624,0.6404914,0.03378279,0.003984201,0.001401232,0.01526181,0.005072326,0.005229828,0.01567959,0.01749407,0.2611081],"study_design_scores_gemma":[0.0000528901,0.0002026578,0.8515472,0.006734252,0.003534841,0.001746947,0.02177427,0.00718573,0.001885911,0.01090079,0.09428827,0.00014611],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7226697,0.1564244,0.006801204,0.004413893,0.0002765984,0.0006172861,0.07536475,0.0006461652,0.03278599],"genre_scores_gemma":[0.9129449,0.05204537,0.01227837,0.0001561697,0.0003073262,0.0005064721,0.02040703,0.00008855587,0.001265871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.844497,"threshold_uncertainty_score":0.03849071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1202842399549535,"score_gpt":0.5293732641195458,"score_spread":0.4090890241645923,"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."}}