{"id":"W2041892322","doi":"10.5194/acp-10-10655-2010","title":"IASI carbon monoxide validation over the Arctic during POLARCAT spring and summer campaigns","year":2010,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Space Agency; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Institut Polaire Français Paul Emile Victor; Centre National de la Recherche Scientifique; Natural Environment Research Council; Centre National d’Etudes Spatiales; Fonds De La Recherche Scientifique - FNRS; European Space Agency; Russian Foundation for Basic Research; Agence Nationale de la Recherche; Sight Research UK","keywords":"Environmental science; Arctic; Atmospheric sciences; Spring (device); The arctic; Depth sounding; Carbon monoxide; Climatology; Meteorology; Geology; Geography; Oceanography; Chemistry","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":[0.0009179268,0.0006982533,0.0003282449,0.0007293128,0.000631353,0.0005900136,0.0003541006,0.0003252035,0.0004212258],"category_scores_gemma":[0.0006769916,0.0001958739,0.0003004338,0.0006297544,0.0001827121,0.0003563556,0.0003611198,0.0002819695,0.000401682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004479894,"about_ca_system_score_gemma":0.0006105254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05302192,"about_ca_topic_score_gemma":0.07390925,"domain_scores_codex":[0.9996244,0.00005528815,0.00002051928,0.000123117,0.0001266095,0.00005011119],"domain_scores_gemma":[0.999486,0.00005317927,0.0000679333,0.00008532121,0.0002659083,0.0000416877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002952012,0.0005219172,0.7513421,0.000325283,0.0007531081,0.000567127,0.0005914752,0.04731711,0.1296355,0.000486906,0.007071865,0.05843553],"study_design_scores_gemma":[0.0001454483,0.0003001917,0.847928,0.0000500728,0.0001625193,0.0001587162,0.0002750416,0.07786896,0.06428446,0.0001352242,0.008647911,0.00004348314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849426,0.0002064436,0.00346417,0.00003714445,0.00005349332,0.00003732651,0.007719571,0.0005708006,0.002968493],"genre_scores_gemma":[0.9768403,0.0001122151,0.004761505,0.0000439932,0.00001885959,0.00004608171,0.01740697,0.0001045427,0.0006654882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05302192,"threshold_uncertainty_score":0.1054265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006389412872440808,"score_gpt":0.1951168275350711,"score_spread":0.1887274146626303,"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."}}