{"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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01967365,0.00009921112,0.0006354571,0.001922871,0.0001409962,0.000009167908,0.000186372,0.0001228661,0.00001845652],"category_scores_gemma":[0.003143233,0.00005021157,0.00009709789,0.02440165,0.0006583256,0.0000904192,0.0001061003,0.000374767,6.757469e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001981849,"about_ca_system_score_gemma":0.000105481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002549842,"about_ca_topic_score_gemma":0.0009882713,"domain_scores_codex":[0.9942269,0.004021561,0.0008066629,0.0001953648,0.0003507288,0.0003987334],"domain_scores_gemma":[0.9942868,0.00492901,0.00038904,0.0001491348,0.00002046404,0.0002255697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003668773,0.0001437078,0.8408414,0.0004360909,0.00009568311,0.00001353567,0.0006203179,0.0001173721,0.000003015313,0.008775673,0.01007044,0.1385159],"study_design_scores_gemma":[0.0003858666,0.001826203,0.9838726,0.0001637214,0.00003919049,0.0000779109,0.0001049111,0.0004543176,8.238334e-7,0.01190869,0.001131322,0.00003442789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9533099,0.01880464,0.0001000298,0.02718068,0.0001045047,0.0001230672,0.0000226938,0.000001773012,0.000352687],"genre_scores_gemma":[0.9892916,0.007352767,0.0002063138,0.003108327,0.00002845426,0.000001209088,3.692839e-7,0.000001730755,0.000009218475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1430312,"threshold_uncertainty_score":0.9963351,"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."}}