{"id":"W4231291128","doi":"10.5194/acpd-15-29871-2015","title":"Carbon monoxide climatology derived from the trajectory mapping of global MOZAIC-IAGOS data","year":2015,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Environment and Climate Change Canada","funders":"","keywords":"Trajectory; Troposphere; Environmental science; Longitude; Descent (aeronautics); Meteorology; Altitude (triangle); Latitude; Satellite; Geographic coordinate system; Climatology; Geology; Geography; Geodesy; Mathematics; Physics","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":[0.0002646814,0.0005099832,0.0002435512,0.001826911,0.000240591,0.0005362703,0.0003303076,0.000246594,0.001583892],"category_scores_gemma":[0.0006242311,0.0001414978,0.0003912191,0.002978304,0.0001296415,0.0002432178,0.0004384184,0.0003544173,0.0008152603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009134641,"about_ca_system_score_gemma":0.001237904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1446733,"about_ca_topic_score_gemma":0.1457045,"domain_scores_codex":[0.9998779,0.00001262655,0.000009247476,0.00004065484,0.00003882854,0.00002066342],"domain_scores_gemma":[0.9996933,0.00001038155,0.00006713741,0.00005396567,0.0001527738,0.00002249673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000798105,0.0002408516,0.7159263,0.0008107885,0.0009089324,0.0007159887,0.0007323205,0.09985758,0.02203408,0.002078425,0.05773828,0.09815831],"study_design_scores_gemma":[0.0000780718,0.00003109263,0.9253908,0.00009046249,0.00006194344,0.00007735911,0.0002762851,0.02444847,0.003717126,0.0001602964,0.04563427,0.0000336588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7527707,0.0004660703,0.005949283,0.0002557694,0.00009969823,0.0002347804,0.2257257,0.001387983,0.01310999],"genre_scores_gemma":[0.6772994,0.0004047939,0.01895641,0.00006069001,0.00004033042,0.0002548052,0.2998914,0.0002392808,0.002852815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1446733,"threshold_uncertainty_score":0.2876623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03552589430698018,"score_gpt":0.2452757181096458,"score_spread":0.2097498238026657,"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."}}