{"id":"W2117605914","doi":"10.1029/2002jd003186","title":"Operational carbon monoxide retrieval algorithm and selected results for the MOPITT instrument","year":2003,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":505,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Institut national des sciences de l'Univers; Centre National de la Recherche Scientifique; National Aeronautics and Space Administration","keywords":"A priori and a posteriori; Troposphere; Remote sensing; Environmental science; Context (archaeology); Satellite; Weighting; Meteorology; Carbon monoxide; Algorithm; Computer science; Geology; Geography; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006266467,0.0004546086,0.0003935988,0.0006264204,0.0002804256,0.0006727047,0.0004498286,0.0005183716,0.002382844],"category_scores_gemma":[0.001826312,0.0001190071,0.0001597365,0.0006881521,0.000131324,0.0006351673,0.0002999353,0.0002445651,0.0007596123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003974607,"about_ca_system_score_gemma":0.0004736601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009076065,"about_ca_topic_score_gemma":0.005661857,"domain_scores_codex":[0.9997469,0.00003300596,0.00001390537,0.00003830354,0.0001317925,0.00003606798],"domain_scores_gemma":[0.9996581,0.0000576457,0.00001492426,0.00003365553,0.0002235011,0.0000121394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001360624,0.0003638556,0.007943223,0.0001948723,0.0001042197,0.0002597459,0.0001252814,0.2380261,0.1133186,0.008906378,0.01397829,0.6154187],"study_design_scores_gemma":[0.0001488591,0.0001520849,0.005976801,0.000009931966,0.00002109539,0.0001116584,0.00004991367,0.9422489,0.0439328,0.001077002,0.006239851,0.00003116026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3495646,0.001101489,0.6230145,0.000460923,0.0001064854,0.0004628593,0.001768461,0.00661888,0.01690178],"genre_scores_gemma":[0.4671069,0.0003254371,0.5215697,0.00007593758,0.00003528043,0.0002929766,0.005182874,0.0003169176,0.005093907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009076065,"threshold_uncertainty_score":0.01804644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849872273526312,"score_gpt":0.2728764242691383,"score_spread":0.2543777015338752,"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."}}