{"id":"W2104592371","doi":"10.1007/978-1-4020-8453-9_59","title":"Modelling Regional Aerosols: Impact of Cloud Processing on Gases and Particles over Eastern North America and in Its Outflow During ICARTT 2004","year":2008,"lang":"en","type":"book-chapter","venue":"NATO security through science series. C, Environmental security (Online)/NATO security through science series. C, Environmental security (Print)","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Outflow; Aerosol; Environmental science; Meteorology; Climatology; Air quality index; Atmospheric sciences; Geography; Geology","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":[0.0003260998,0.0008529352,0.0004838599,0.0002373617,0.0007611716,0.0009079605,0.001112557,0.001592902,0.001420329],"category_scores_gemma":[0.0005953066,0.000557732,0.001059464,0.0005326447,0.0002922748,0.0006495178,0.0003869914,0.0009044769,0.0003145807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001765887,"about_ca_system_score_gemma":0.001411652,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4178387,"about_ca_topic_score_gemma":0.4085726,"domain_scores_codex":[0.9999084,0.00001678302,0.000006575421,0.00003334053,0.00001599106,0.00001886733],"domain_scores_gemma":[0.9997876,0.0001022991,0.00001768345,0.00001440553,0.00005173091,0.00002633038],"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":[0.0001475902,0.0001363557,0.04625667,0.00007891381,0.0001833269,0.0002582167,0.0001425634,0.9339879,0.002853038,0.0007501399,0.00689812,0.008307083],"study_design_scores_gemma":[0.0001334065,0.0000768441,0.07188091,0.00003484338,0.0002003276,0.00007767913,0.0002893844,0.9182549,0.003439763,0.0006311502,0.004922228,0.00005862242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706289,0.000767058,0.002800235,0.000886148,0.0001616386,0.00004429417,0.007600008,0.0005534478,0.01655812],"genre_scores_gemma":[0.984234,0.0004517388,0.00416378,0.0001299776,0.00004792045,0.00003960934,0.005231952,0.0002413436,0.005459551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5821613,"threshold_uncertainty_score":0.8308133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644083795242816,"score_gpt":0.2277801407105658,"score_spread":0.2113393027581377,"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."}}