{"id":"W2073890971","doi":"10.1016/j.envpol.2013.06.037","title":"An intercomparison of satellite-derived ground-level NO2 concentrations with GMSMB modeling results and in-situ measurements – A North American study","year":2013,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Goddard Space Flight Center","keywords":"Environmental science; Ozone Monitoring Instrument; Ground Level Ozone; Satellite; Nitrogen dioxide; Ground level; Ozone; Atmospheric sciences; Pollutant; In situ; Meteorology; Remote sensing; Geography; Chemistry; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001429322,0.0004658326,0.0004271411,0.0003316234,0.000912959,0.0005326068,0.0005585787,0.0004630735,0.0004259195],"category_scores_gemma":[0.0007035117,0.0003403494,0.0004413794,0.0009610477,0.0004223364,0.000734833,0.0004516586,0.0004104919,0.0002248454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001379515,"about_ca_system_score_gemma":0.001269895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1924342,"about_ca_topic_score_gemma":0.2302325,"domain_scores_codex":[0.9994998,0.000161199,0.00001743488,0.0001759117,0.00009730037,0.00004837848],"domain_scores_gemma":[0.9991401,0.0001748794,0.00009271446,0.0001913305,0.0003431654,0.00005781927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002964553,0.00269364,0.9011627,0.000140799,0.0008156805,0.0005988113,0.002956051,0.01011303,0.04195746,0.0004400846,0.002699963,0.03345724],"study_design_scores_gemma":[0.0000713086,0.0001904347,0.9832324,0.000008385896,0.0002345236,0.00006688029,0.0008143527,0.007937775,0.004792355,0.0001147804,0.002519686,0.00001701142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986748,0.00003907175,0.0003859047,0.00004399932,0.000007987754,0.00001537061,0.0002668909,0.00000859104,0.0005575208],"genre_scores_gemma":[0.9966558,0.00008843228,0.001258872,0.0000448495,0.00001035073,0.00003172037,0.001131563,0.00001071029,0.0007675831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1924342,"threshold_uncertainty_score":0.3826283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03172935026949035,"score_gpt":0.2174263840088172,"score_spread":0.1856970337393268,"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."}}