{"id":"W2786140770","doi":"10.1088/1748-9326/aaa511","title":"Climate and health implications of future aerosol emission scenarios","year":2018,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Concordia University","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Emil Aaltosen Säätiö; Compute Canada; McGill University; University of Victoria; Natural Sciences and Engineering Research Council of Canada","keywords":"Aerosol; Radiative forcing; Environmental science; Atmospheric sciences; Climatology; Climate model; Greenhouse gas; Climate change; Representative Concentration Pathways; Population; Forcing (mathematics); Meteorology; Geography; Physics; Environmental health; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002482353,0.001011865,0.0005140983,0.0005223779,0.0004904201,0.0011006,0.0008637123,0.001838531,0.002165364],"category_scores_gemma":[0.003661146,0.000488298,0.001727241,0.0005010536,0.0004879732,0.001039396,0.0009275934,0.0007576824,0.0001557915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001980778,"about_ca_system_score_gemma":0.0009413317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02270905,"about_ca_topic_score_gemma":0.01278444,"domain_scores_codex":[0.9989418,0.0006562641,0.00005023598,0.0001194938,0.00007677858,0.0001553364],"domain_scores_gemma":[0.9985838,0.0008521514,0.0001565886,0.0001065904,0.000183778,0.0001171232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002929239,0.00008719098,0.02945786,0.00006949229,0.0002778936,0.0003047946,0.00003556421,0.9633103,0.002366915,0.001266581,0.0007333937,0.001797175],"study_design_scores_gemma":[0.0004709595,0.000537438,0.05847988,0.00007474405,0.0004482133,0.0003222736,0.0004587503,0.9198509,0.005524144,0.01009386,0.003596625,0.000142242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835083,0.0003870154,0.0040256,0.001458832,0.00009266904,0.00009040701,0.004764667,0.0001318402,0.005540727],"genre_scores_gemma":[0.9974076,0.00009960348,0.0009362818,0.0001684102,0.000009566225,0.00003873705,0.0009990053,0.00001002689,0.0003307519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02270905,"threshold_uncertainty_score":0.04515374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07877747577027147,"score_gpt":0.3961784726613357,"score_spread":0.3174009968910643,"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."}}