{"id":"W4401947389","doi":"10.1186/s41043-024-00622-3","title":"Global trends and hotspots in the study of the effects of PM2.5 on ischemic stroke","year":2024,"lang":"en","type":"article","venue":"Journal of Health Population and Nutrition","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stroke (engine); Medicine; Epidemiology; Ischemic stroke; Environmental health; Internal medicine; Ischemia","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":[],"consensus_categories":[],"category_scores_codex":[0.004211946,0.0004792698,0.0008007861,0.04071188,0.0006336675,0.003503294,0.0003860689,0.0005157116,0.002857497],"category_scores_gemma":[0.008433497,0.0001661929,0.001030744,0.04789507,0.0008068102,0.002841108,0.001590456,0.0003499877,0.0003515537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001325844,"about_ca_system_score_gemma":0.001488106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005197296,"about_ca_topic_score_gemma":0.009811461,"domain_scores_codex":[0.9976248,0.0007382528,0.0003384739,0.0003377021,0.0007794133,0.0001813826],"domain_scores_gemma":[0.98875,0.005634062,0.003230562,0.0004143302,0.001674191,0.0002968076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003496976,0.00007752675,0.7131197,0.008739444,0.001695944,0.0006766954,0.007412895,0.003307571,0.004783891,0.01180231,0.006032048,0.2420022],"study_design_scores_gemma":[0.00001231574,0.0001228802,0.9576157,0.001062384,0.0004360326,0.0004597773,0.008660915,0.00128648,0.0007416224,0.004963621,0.02460066,0.00003760318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8548907,0.08241256,0.007540635,0.005426995,0.0002687013,0.000315919,0.0132853,0.0004340244,0.03542518],"genre_scores_gemma":[0.96709,0.0208803,0.00692912,0.0002272784,0.0003241766,0.0001047756,0.003318505,0.00003651762,0.001089319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04071188,"threshold_uncertainty_score":0.02227515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03016774008184839,"score_gpt":0.3621080214850674,"score_spread":0.331940281403219,"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."}}