{"id":"W2253274866","doi":"10.3389/fimmu.2016.00003","title":"Aeroparticles, Composition, and Lung Diseases","year":2016,"lang":"en","type":"review","venue":"Frontiers in Immunology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":388,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Consejo Nacional de Ciencia y Tecnología, Guatemala; Secretaría de Ciencia, Tecnología e Innovación del Distrito Federal","keywords":"Particulates; Air pollution; Pollutant; Respiratory system; Pollution; Respiratory tract; Environmental chemistry; Ultrafine particle; Lung; Environmental health; Chemistry; Physiology; Medicine; Immunology; Biology; Ecology; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.000349926,0.0005679631,0.00062961,0.001220265,0.0003306703,0.001401653,0.0003607197,0.0006235499,0.002704387],"category_scores_gemma":[0.0004306725,0.0001326766,0.0005787428,0.000825401,0.0003755929,0.0007102672,0.0006085502,0.0007542339,0.00068441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003075498,"about_ca_system_score_gemma":0.0005221507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001370778,"about_ca_topic_score_gemma":0.001326792,"domain_scores_codex":[0.9997671,0.00005129645,0.00002992575,0.00004891316,0.0000672079,0.00003555598],"domain_scores_gemma":[0.999844,0.00004299298,0.00003937605,0.000004759495,0.00005001992,0.00001884279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005771202,0.0003207919,0.02096152,0.03281918,0.0009016957,0.002378824,0.001080569,0.0009372353,0.03043592,0.01328089,0.0456336,0.8506727],"study_design_scores_gemma":[0.00002589278,0.0005988415,0.05111514,0.004642743,0.0005949539,0.006110622,0.0008080653,0.0003033947,0.004426749,0.007511234,0.9238079,0.00005439483],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002854016,0.9944136,0.0001626423,0.000503113,0.0003430574,0.000006086555,0.00005609644,0.000008984473,0.001652469],"genre_scores_gemma":[0.02050039,0.9758807,0.0002264293,0.0003420673,0.0007015064,0.00001270949,0.0001063766,0.000002890175,0.002226999],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002704387,"threshold_uncertainty_score":0.009047031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470804211610427,"score_gpt":0.3113539757870664,"score_spread":0.2866459336709621,"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."}}