{"id":"W2029696626","doi":"10.1016/s0269-7491(02)00407-4","title":"A multi-variate statistical model integrating passive sampler and meteorology data to predict the frequency distributions of hourly ambient ozone (O3) concentrations","year":2003,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Pennsylvania Department of Conservation and Natural Resources; Pennsylvania Department of Environmental Protection; U.S. Environmental Protection Agency","keywords":"Environmental science; Wind speed; Meteorology; Relative humidity; Humidity; Atmospheric sciences; Ozone","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001474786,0.0001015339,0.000107058,0.000003065594,0.0002006489,0.00001776174,0.0001352612,0.00004664096,0.0005177887],"category_scores_gemma":[0.0001323176,0.00007438324,0.00001654941,0.0000584658,0.0002719397,0.0001370761,0.00002890404,0.0001119766,0.00001148406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000161948,"about_ca_system_score_gemma":0.00003024911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004901172,"about_ca_topic_score_gemma":0.0003035604,"domain_scores_codex":[0.9991385,0.00008823821,0.0002098132,0.0002449847,0.0001286115,0.0001898017],"domain_scores_gemma":[0.999504,0.0000816825,0.00007597283,0.0002313998,0.000003535031,0.0001033953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001506428,0.0006836111,0.4591338,0.00003779473,0.0002823133,0.00001748489,0.003193906,0.06283922,0.4421171,0.01289306,0.002031734,0.0166193],"study_design_scores_gemma":[0.0006428239,0.0001932176,0.7684979,0.00001478277,0.00009819453,0.00002810558,0.001103586,0.2239156,0.003002341,0.001862141,0.000402726,0.0002385982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6410975,0.0001319087,0.3468802,0.0003043821,0.00005445075,0.0002198246,0.01121698,0.000009409565,0.0000853801],"genre_scores_gemma":[0.9608594,0.00003030177,0.03747805,0.00009818724,0.00001631215,0.000003693118,0.001488651,0.000002133342,0.00002331196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4391148,"threshold_uncertainty_score":0.5669423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.026035487732571,"score_gpt":0.23467958350962,"score_spread":0.208644095777049,"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."}}