{"id":"W4400770825","doi":"10.22541/essoar.172132446.63101527/v1","title":"Modelling the impact of the bidirectional exchange of NH3 from the Great Lakes on a regional and local scale using GEM-MACH","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto","funders":"","keywords":"Mach number; Scale (ratio); Environmental science; Economic geography; Aerospace engineering; Geography; Engineering; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003931322,0.0005986965,0.0003295144,0.0002757798,0.000302769,0.0006771533,0.0006441729,0.001072178,0.001079043],"category_scores_gemma":[0.0007391481,0.0003748892,0.0007971973,0.000440781,0.0004367482,0.0006140112,0.0004910139,0.0004727248,0.0001061942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108564,"about_ca_system_score_gemma":0.0008284157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1149228,"about_ca_topic_score_gemma":0.07518601,"domain_scores_codex":[0.9999094,0.00002607857,0.000005026246,0.00002959054,0.000009985631,0.00001990373],"domain_scores_gemma":[0.9997762,0.0001115835,0.00002922863,0.00002020257,0.00002709729,0.00003579856],"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":[0.0001081278,0.00005489702,0.01762933,0.00002918163,0.0000791793,0.00008493273,0.00003419306,0.9771906,0.002421847,0.0005650746,0.0003765993,0.001426024],"study_design_scores_gemma":[0.00003151735,0.00002346855,0.006482425,0.000001981061,0.00001560387,0.000006956994,0.0000335087,0.992392,0.0005433095,0.0001738351,0.000285996,0.000009401849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955617,0.00007237602,0.001760659,0.0001703821,0.00002231599,0.000007916492,0.0008395301,0.0001297771,0.001435288],"genre_scores_gemma":[0.9969305,0.0000489001,0.001634321,0.00003189555,0.000008796801,0.000008640999,0.0008103785,0.00003295073,0.0004935674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8850772,"threshold_uncertainty_score":0.2285078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02730064208165209,"score_gpt":0.2407082040643047,"score_spread":0.2134075619826526,"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."}}