{"id":"W2261002769","doi":"10.1002/2015jd024183","title":"From nuclear power to coal power: Aerosol‐induced health and radiative effects","year":2015,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Leibniz-Institut für Troposphärenforschung; Leibniz-Gemeinschaft; Forschungszentrum Jülich; Eidgenössische Technische Hochschule Zürich; Aalto-Yliopisto; Academy of Finland; University of Oxford","keywords":"Environmental science; Aerosol; Coal; Atmospheric sciences; Radiative transfer; Climate change; Coal combustion products; Greenhouse gas; Population; Climate model; Air quality index; Nuclear power; Global warming; Climatology; Meteorology; Waste management; Environmental health; Physics; Nuclear physics; Engineering","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":[0.0005053385,0.0003258717,0.0003098398,0.0001385786,0.0001767332,0.0003675924,0.0004452006,0.0005513894,0.002204125],"category_scores_gemma":[0.0008226039,0.0001547952,0.0006846384,0.0001582875,0.0004750525,0.0003581299,0.0004448169,0.000340871,0.00008686848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008071986,"about_ca_system_score_gemma":0.0005100855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01371412,"about_ca_topic_score_gemma":0.007786653,"domain_scores_codex":[0.9998019,0.00008434532,0.000005526316,0.00002948685,0.00002794199,0.00005091976],"domain_scores_gemma":[0.9995633,0.000233795,0.00006361595,0.00003074187,0.00005705238,0.00005143308],"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":[0.0009737088,0.0002537427,0.1691134,0.0001744153,0.0004464465,0.0008278581,0.00008614311,0.7715549,0.04279017,0.003447582,0.0006867014,0.009644904],"study_design_scores_gemma":[0.0003014467,0.00215744,0.2246578,0.00006641449,0.0006271154,0.0007327739,0.000635313,0.6936954,0.05967673,0.01326103,0.004065109,0.0001235169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958525,0.0003222269,0.002146743,0.0004094985,0.00002581235,0.00000729742,0.0002214263,0.00001661157,0.0009979825],"genre_scores_gemma":[0.9995195,0.00006933841,0.0001946711,0.00003405061,0.000003571454,0.000001888053,0.00003534577,0.000001700953,0.0001400565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01371412,"threshold_uncertainty_score":0.02726865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0705722844616281,"score_gpt":0.3894943188712802,"score_spread":0.3189220344096521,"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."}}