{"id":"W1976935900","doi":"10.1080/10473289.2006.10464519","title":"Influence of Atmospheric Dispersion and New Particle Formation Events on Ambient Particle Number Concentration in Rochester, United States, and Toronto, Canada","year":2006,"lang":"en","type":"article","venue":"Journal of the Air & Waste Management Association","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Oceanic and Atmospheric Administration; Canadian Foundation for Climate and Atmospheric Sciences; New York State Energy Research and Development Authority; University of Toronto; U.S. Department of Agriculture","keywords":"Particle number; Morning; Particle (ecology); Aerosol; Atmospheric sciences; Environmental science; Diurnal temperature variation; Meteorology; Geography; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.000393066,0.00005695848,0.00008931631,0.000001979302,0.00006310466,0.00001175971,0.00005934709,0.00002193706,0.00001291435],"category_scores_gemma":[0.00002345246,0.00004431139,0.00001392281,0.0001387706,0.00001124002,0.000473709,0.00004524966,0.00005201757,0.00000103261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232249,"about_ca_system_score_gemma":0.00001486518,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1297628,"about_ca_topic_score_gemma":0.1141556,"domain_scores_codex":[0.9989574,0.0001096599,0.0003395991,0.00006011577,0.0003936116,0.0001396031],"domain_scores_gemma":[0.9993613,0.00003514845,0.0004745361,0.00005917207,0.000015132,0.00005470886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000633012,0.00006124828,0.846035,0.00002922807,0.000009328567,7.099239e-7,0.0007790097,0.1472586,0.0002874396,0.0001080951,0.003267308,0.002100738],"study_design_scores_gemma":[0.0007856952,0.00006323751,0.9786554,0.00006550171,0.0000184946,7.306811e-7,0.0006160298,0.01754549,0.000941472,0.0002623602,0.0009994826,0.00004610256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964023,0.00002805915,0.00006185745,0.003234006,0.0000393563,0.0001579114,0.00000123906,0.000001774468,0.00007346099],"genre_scores_gemma":[0.9986801,0.0001663181,0.00009735771,0.0007783461,0.00001241505,9.068502e-7,0.000001930586,0.000002690318,0.0002599139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1326204,"threshold_uncertainty_score":0.9020087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008119787066670856,"score_gpt":0.2279315793777456,"score_spread":0.2198117923110748,"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."}}