{"id":"W2990646953","doi":"10.1007/978-3-030-22055-6_18","title":"Development and Current Status of the GEM-MACH-Global Modelling System at the Environment and Climate Change Canada","year":2019,"lang":"en","type":"book-chapter","venue":"Springer proceedings in complexity","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Meteorology; Environmental science; Troposphere; Stratosphere; Mach number; Atmospheric sciences; Air quality index; Atmospheric chemistry; Climatology; Aerospace engineering; Geography; Ozone; Engineering; Geology","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":[0.002519482,0.0008338947,0.0006446239,0.0009617332,0.0009211062,0.003564896,0.003584154,0.001138037,0.01353684],"category_scores_gemma":[0.002725969,0.0005153823,0.0007694697,0.002075217,0.0007039601,0.002326182,0.00133638,0.001507989,0.006207531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006957741,"about_ca_system_score_gemma":0.0176831,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6070634,"about_ca_topic_score_gemma":0.5089214,"domain_scores_codex":[0.9994532,0.00007309115,0.00002069786,0.00005863234,0.0003323158,0.00006194818],"domain_scores_gemma":[0.9988368,0.0001652344,0.00002418767,0.0001430931,0.0006865234,0.0001441274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002918853,0.0001157594,0.004642514,0.0004729691,0.0001259725,0.0001274364,0.0003893537,0.1777903,0.004914811,0.08106569,0.2836515,0.4464118],"study_design_scores_gemma":[0.00007064794,0.00003579226,0.003605976,0.000231147,0.00005894104,0.00004301884,0.00008664341,0.2215847,0.002846575,0.01173696,0.7596135,0.0000860465],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.04508498,0.02579915,0.338381,0.01844492,0.004153104,0.0008359601,0.06962469,0.04912663,0.4485496],"genre_scores_gemma":[0.1562938,0.02536295,0.5520265,0.001585451,0.0007896048,0.0006899053,0.08533737,0.01768916,0.1602253],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3929366,"threshold_uncertainty_score":0.7905014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05262162961651139,"score_gpt":0.2056643520486302,"score_spread":0.1530427224321188,"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."}}