{"id":"W2887569607","doi":"","title":"GEM-MACH10: Implementation of a New Higher-Resolution Version of the Canadian Operational Air Quality Forecast Model","year":2013,"lang":"en","type":"article","venue":"93rd American Meteorological Society Annual Meeting","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Environmental science; Air quality index; Computer science; Meteorology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000423889,0.0001334414,0.0002320405,0.000009825598,0.0004315708,0.00001068953,0.0002424307,0.00006387669,0.0007924001],"category_scores_gemma":[0.00007173666,0.00008905545,0.000202515,0.000302549,0.0006540575,0.0001888552,0.0002347125,0.0001390512,0.00002172178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002174859,"about_ca_system_score_gemma":0.00006772907,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3673031,"about_ca_topic_score_gemma":0.02538039,"domain_scores_codex":[0.9985064,0.0001407719,0.0003546286,0.0002528231,0.0004184851,0.0003268694],"domain_scores_gemma":[0.9993246,0.00008883669,0.0002700841,0.0001325129,0.00004890308,0.0001350157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004796485,0.0001846226,0.7279184,0.00003117781,0.0001559624,3.693632e-7,0.01039372,0.08766613,0.05273057,0.001244046,0.05771028,0.06191678],"study_design_scores_gemma":[0.0003478796,0.0002020445,0.9766021,0.000009813983,0.00002537673,2.946182e-7,0.006433169,0.0122953,0.001465945,0.0007104137,0.001728732,0.0001789379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924113,0.00001686557,0.0003591655,0.005215232,0.00004828077,0.0002547696,0.00007974064,0.00001507062,0.001599534],"genre_scores_gemma":[0.9884847,0.00000766425,0.009758549,0.001511534,0.00004772126,0.00001715137,0.00001119234,0.000005814376,0.0001557103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3419227,"threshold_uncertainty_score":0.9924039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086532896236109,"score_gpt":0.2718675717895181,"score_spread":0.251002242827157,"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."}}