{"id":"W3195357168","doi":"","title":"Air Pollution Modelling and Forecasting in Hamilton Using Data-Driven Methods","year":2007,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Air pollution; Pollution; Environmental science; Meteorology; Econometrics; Geography; Mathematics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007011994,0.000307212,0.000339665,0.0001991053,0.0002596231,0.00003789084,0.0004377213,0.0003388731,0.002049288],"category_scores_gemma":[0.00002763295,0.0003714577,0.0000551083,0.0005846591,0.00008471316,0.0005741025,0.0003337395,0.0004736093,0.000009600919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005117357,"about_ca_system_score_gemma":0.00002405227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002866717,"about_ca_topic_score_gemma":0.001870974,"domain_scores_codex":[0.997987,0.0002042061,0.0003399308,0.000753428,0.0002752682,0.0004401096],"domain_scores_gemma":[0.9991289,0.0001010481,0.0003036721,0.0003350902,0.00001406687,0.0001171731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00014939,0.00003565653,0.004589122,0.0001336787,0.00002957151,0.00006880338,0.002375507,0.3465482,0.001279098,0.00003532523,0.00001654568,0.6447391],"study_design_scores_gemma":[0.0007302269,0.00004918308,0.003328761,0.0006173705,0.0001438317,0.00001390732,0.008649205,0.949023,0.0008019723,0.0001124225,0.03568175,0.0008483948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5019675,0.0001548026,0.2669739,0.00001411576,0.0006026372,0.0003975734,0.00003487311,0.0001065345,0.2297481],"genre_scores_gemma":[0.1810399,0.00009045258,0.6247872,0.00006392699,0.0002945321,8.732272e-7,0.0004988824,0.0001377608,0.1930865],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6438907,"threshold_uncertainty_score":0.9998738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0997874600184205,"score_gpt":0.3143095838867115,"score_spread":0.2145221238682911,"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."}}