{"id":"W2120337460","doi":"10.5194/acp-7-5489-2007","title":"Intercomparison of ground-based ozone and NO <sub>2</sub> measurements during the MANTRA 2004 campaign","year":2007,"lang":"en","type":"preprint","venue":"Atmospheric chemistry and physics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Environment and Climate Change Canada; University of Waterloo; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Ontario Innovation Trust; National Aeronautics and Space Administration","keywords":"Mantra; Ozone; Environmental science; Meteorology; Atmospheric sciences; Remote sensing; Physics; Geography; Theology; Philosophy","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":[0.0005424442,0.0004348184,0.0003634524,0.0004240116,0.0004445151,0.0005952425,0.0003669429,0.000398958,0.0006050924],"category_scores_gemma":[0.0005799204,0.0001967251,0.0002424926,0.0005593088,0.0001701606,0.0003415268,0.0003248472,0.000301672,0.0002162861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008811904,"about_ca_system_score_gemma":0.0004830037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08552211,"about_ca_topic_score_gemma":0.2215702,"domain_scores_codex":[0.9996895,0.00007197958,0.0000105247,0.0001154449,0.00007122469,0.00004132876],"domain_scores_gemma":[0.9995839,0.00006084143,0.0000801685,0.0000772607,0.0001598926,0.00003790376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00616193,0.001026152,0.7394479,0.0003201017,0.001431769,0.0008079171,0.001207211,0.01828298,0.1367612,0.0004721177,0.01217932,0.08190145],"study_design_scores_gemma":[0.0001172493,0.0002772961,0.975587,0.00001243591,0.000164647,0.00006072201,0.0001231218,0.007268995,0.01051711,0.00004555504,0.005800629,0.00002522609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994415,0.0001979506,0.0004347166,0.00004651847,0.00003611575,0.00002347248,0.00194784,0.0001830468,0.002715275],"genre_scores_gemma":[0.9915968,0.00006929963,0.001242577,0.00004995923,0.00002068452,0.00002320906,0.005967611,0.00003816367,0.000991754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08552211,"threshold_uncertainty_score":0.1700487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495956994589836,"score_gpt":0.2124655531921089,"score_spread":0.1975059832462105,"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."}}