{"id":"W2990764752","doi":"10.5194/acpd-11-24765-2011","title":"Nucleation and growth of sulfate aerosol in coal-fired power plant plumes: sensitivity to background aerosol and meteorology","year":2011,"lang":"en","type":"article","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Aerosol; Plume; Atmospheric sciences; Environmental science; Particle (ecology); Cloud condensation nuclei; Meteorology; Particle number; Sulfate aerosol; Sulfate; Condensation; Nucleation; Atmosphere (unit); Chemistry; Geology; Geography; Physics","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":[0.0002469984,0.0003914364,0.0002117456,0.0002102617,0.0001647414,0.0002849838,0.000285245,0.0002868763,0.0005506738],"category_scores_gemma":[0.0006041486,0.0001759116,0.0003869554,0.0001485691,0.0001505622,0.0002919081,0.0002295043,0.0002295264,0.00007857946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005617295,"about_ca_system_score_gemma":0.0001806979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01662927,"about_ca_topic_score_gemma":0.007746885,"domain_scores_codex":[0.9999373,0.00001062,0.000003825529,0.00001697119,0.00001958343,0.00001178274],"domain_scores_gemma":[0.999708,0.000134005,0.00003153109,0.0000289544,0.00005582719,0.00004168388],"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":[0.0006515554,0.0003394342,0.2742995,0.0001116081,0.0001695166,0.0005526249,0.0001041376,0.5281595,0.183925,0.0005064395,0.0004760108,0.01070459],"study_design_scores_gemma":[0.00003605083,0.0001183755,0.1048966,0.000003538591,0.0000220585,0.00005389281,0.00003818542,0.8649681,0.0295149,0.0001638604,0.0001703237,0.00001402319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985831,0.00006277068,0.0007533226,0.00002255806,0.000003918789,0.000006341277,0.0001315658,0.00005660333,0.0003796834],"genre_scores_gemma":[0.9994441,0.00002829053,0.000282466,0.000003692528,0.000001407964,0.000002524922,0.0001670101,0.000005608631,0.00006480412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01662927,"threshold_uncertainty_score":0.03306496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0219029300315189,"score_gpt":0.2030715132453616,"score_spread":0.1811685832138427,"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."}}