{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003304172,0.0004852685,0.000402119,0.0003589804,0.0003691433,0.0007766078,0.0008911496,0.0005509224,0.0007157848],"category_scores_gemma":[0.001110685,0.000353614,0.0003857452,0.0008221082,0.0002691785,0.0003975383,0.0003627451,0.0005025197,0.000111581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00480999,"about_ca_system_score_gemma":0.0046243,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7686842,"about_ca_topic_score_gemma":0.7146031,"domain_scores_codex":[0.9998078,0.0000334118,0.00001187202,0.00004288365,0.0000737897,0.00003031317],"domain_scores_gemma":[0.9995628,0.0001637791,0.00003849257,0.00002274844,0.0001891087,0.00002303065],"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":[0.00002884627,0.00001702656,0.003086565,0.00003472993,0.00002303091,0.00004691012,0.0000176347,0.9872677,0.0004928482,0.0006783818,0.0004375009,0.007868886],"study_design_scores_gemma":[0.000003409215,0.000004134612,0.0008806048,0.000001876621,0.000003383336,0.000001814043,0.00000825173,0.9984097,0.0001745092,0.0001929733,0.0003162932,0.000003114992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7268695,0.001610109,0.2493616,0.001275599,0.0001410725,0.0003588328,0.007439001,0.001333214,0.01161114],"genre_scores_gemma":[0.9730778,0.0004766244,0.02131268,0.0000427367,0.00001448657,0.00009664521,0.002303759,0.0000228484,0.002652474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2313158,"threshold_uncertainty_score":0.4653561,"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."}}