{"id":"W1967775291","doi":"10.1029/2004jd005157","title":"Robust optical features of fine mode size distributions: Application to the Québec smoke event of 2002","year":2005,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences; University of Maryland, Baltimore County; Carnegie Corporation of New York; Smithsonian Environmental Research Center; National Aeronautics and Space Administration; Goddard Space Flight Center; Smithsonian Institution","keywords":"Physics; Statistical physics; Monotonic function; AERONET; Mode (computer interface); Extinction (optical mineralogy); Angstrom exponent; Computational physics; Aerosol; Mathematics; Optics; Mathematical analysis; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007257165,0.0001309768,0.0003072231,0.000001276375,0.0001528563,0.00002220676,0.0007303926,0.0000676705,0.001247461],"category_scores_gemma":[0.0009250509,0.00008029059,0.0002014607,0.0005504434,0.000534822,0.0001425313,0.0003112835,0.0005140117,0.0001077583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002827997,"about_ca_system_score_gemma":0.000144483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009919411,"about_ca_topic_score_gemma":0.005324739,"domain_scores_codex":[0.9973066,0.00013879,0.0005451207,0.0001926504,0.001429354,0.0003875191],"domain_scores_gemma":[0.998217,0.0007129541,0.0002411335,0.0003696686,0.0001982722,0.0002609147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001482018,0.003818101,0.02289315,0.00006362997,0.0002408491,0.00001543331,0.001072095,0.3172517,0.07335994,0.00626311,0.1472798,0.4262602],"study_design_scores_gemma":[0.000837752,0.001782639,0.9246287,0.0001056462,0.0000636948,0.00002097761,0.0005423984,0.01439084,0.02068888,0.001749954,0.03493429,0.0002541654],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97308,0.0004597591,0.0164967,0.008008528,0.00002918836,0.0002970744,0.00001551991,0.000005089706,0.001608103],"genre_scores_gemma":[0.9892009,0.00004704746,0.009059463,0.00005108708,0.000270704,0.00001758297,7.799455e-7,0.00001211008,0.001340325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9017356,"threshold_uncertainty_score":0.9996656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048559396109148,"score_gpt":0.3064604859238084,"score_spread":0.2859748919627169,"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."}}