{"id":"W3092443002","doi":"10.5194/egusphere-egu2020-20982","title":"Canadian Air Quality Forecasting and Information Systems","year":2020,"lang":"en","type":"article","venue":"","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; Environment and Climate Change Canada","funders":"","keywords":"Air quality index; Environmental science; Climate change; Quality (philosophy); Environmental resource management; Environmental economics; Meteorology; Computer science; Business; Geography; Economics; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002685737,0.00005776206,0.0000680341,0.0000118457,0.000143592,0.0000417892,0.00005717323,0.00003324418,0.00007332917],"category_scores_gemma":[0.0001359986,0.00005234959,0.00001129257,0.00009965138,0.00002704608,0.0006038962,0.00005252845,0.00006289439,0.0001794966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001063592,"about_ca_system_score_gemma":0.0000104734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2577395,"about_ca_topic_score_gemma":0.006802643,"domain_scores_codex":[0.999413,0.0000280373,0.0001759743,0.00009130466,0.0001259972,0.0001657065],"domain_scores_gemma":[0.9995881,0.00003127751,0.00004621971,0.00005422525,0.00000472686,0.0002753993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001679437,0.00000786864,0.8364674,0.000181933,0.00001502735,0.000005418907,0.01196566,0.01586335,0.0003333197,0.005608607,0.005738316,0.1237962],"study_design_scores_gemma":[0.0006318082,0.0001751832,0.2776687,0.00005353474,0.00001541419,0.00003086426,0.009661309,0.4080566,0.0004868249,0.0001329617,0.3022584,0.000828325],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8964472,0.00001123073,0.002454779,0.002456369,0.0001376173,0.0001408842,0.000008942606,0.00009221448,0.09825072],"genre_scores_gemma":[0.9984691,8.964076e-7,0.0006012473,0.0007604893,0.0000558883,0.000003009238,0.000003924401,0.000002851556,0.0001026665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5587987,"threshold_uncertainty_score":0.7472032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04956763732004135,"score_gpt":0.2407787283353354,"score_spread":0.191211091015294,"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."}}