{"id":"W1594808647","doi":"10.1023/a:1006497117066","title":"A New All Season Passive Sampling System for Monitoring Ozone in Air","year":2000,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Maxxam (Canada)","funders":"National Research Council Canada; University of Alberta","keywords":"Environmental science; Sampling (signal processing); Atmosphere (unit); Relative humidity; Ozone; Passive sampling; Wind speed; Meteorology; Atmospheric sciences; Humidity; Calibration; Geology; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003390759,0.0003274748,0.0003034401,0.00004591177,0.0003021077,0.00005125993,0.0001912416,0.0001196997,0.0001201661],"category_scores_gemma":[0.000007075851,0.0003410629,0.00008612162,0.0001019422,0.00006706194,0.0002966409,0.0001450579,0.000306633,0.00005437072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181842,"about_ca_system_score_gemma":0.00001246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004673035,"about_ca_topic_score_gemma":0.000001920147,"domain_scores_codex":[0.9978042,0.00006697632,0.0004157078,0.0006517986,0.0004379461,0.000623407],"domain_scores_gemma":[0.9991971,0.0001379519,0.0001107281,0.0002593844,0.00000138215,0.0002934386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004371898,0.0001072114,0.6742439,0.0000431124,0.00002779742,0.00001265276,0.000768744,0.005513618,0.01020471,0.0000114384,0.00002779526,0.3089953],"study_design_scores_gemma":[0.001615777,0.0002588456,0.9713332,0.0004547593,0.00005247367,0.00002189116,0.003380633,0.001389858,0.01131453,0.00008271864,0.009428231,0.0006670752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960985,0.0001918351,0.001532562,0.0001331521,0.0006556821,0.0004339601,0.00001279976,0.0001039449,0.0008375961],"genre_scores_gemma":[0.958791,0.0001340486,0.03906186,0.000007189764,0.0008000286,0.0001266699,0.000008976768,0.00004625346,0.00102394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3083282,"threshold_uncertainty_score":0.9999042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03026664261527027,"score_gpt":0.2961967994427219,"score_spread":0.2659301568274516,"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."}}