{"id":"W2948599469","doi":"10.5194/acp-19-7335-2019","title":"Temporal variations and trend of ground-level ozone based on long-term measurements in Windsor, Canada","year":2019,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l’Environnement, de la Protection de la nature et des Parcs; Environment and Climate Change Canada; University of Windsor","keywords":"Ground Level Ozone; Ozone; NOx; Environmental science; Nitrogen oxides; Chemistry; Windsor; Environmental chemistry; Atmospheric sciences; Combustion","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003149429,0.0003277561,0.0001961522,0.0007777428,0.001043097,0.0006997302,0.0004588449,0.0002376434,0.0007256289],"category_scores_gemma":[0.0003971925,0.000164569,0.0003040982,0.001748979,0.0002841764,0.0003025012,0.000352707,0.0002691187,0.0001381882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0110837,"about_ca_system_score_gemma":0.009588853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9886056,"about_ca_topic_score_gemma":0.9952313,"domain_scores_codex":[0.9997178,0.00001317956,0.00001908803,0.00006585761,0.0001048106,0.00007937053],"domain_scores_gemma":[0.9992111,0.00002678788,0.0001186499,0.0000208137,0.0005009084,0.0001217602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009426895,0.0000206786,0.9903604,0.00004594263,0.0001060604,0.00008794898,0.0003936581,0.000391104,0.001659709,0.00007426486,0.001800181,0.004965885],"study_design_scores_gemma":[0.000001741134,0.000006329645,0.9981059,0.00001310301,0.00001347738,0.00001152523,0.0003000536,0.0002563975,0.000149824,0.000004721037,0.001132295,0.000004665078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985545,0.0008066241,0.0002316471,0.0001166243,0.00001600004,0.00001741088,0.01102088,0.00002126574,0.002224562],"genre_scores_gemma":[0.9891656,0.0005166812,0.0003466748,0.00005928586,0.000006038593,0.00001531918,0.007780002,0.000006049135,0.002104347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01139444,"threshold_uncertainty_score":0.08041829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732402916093545,"score_gpt":0.2006574367174365,"score_spread":0.1833334075565011,"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."}}