{"id":"W4220712383","doi":"10.1002/essoar.10510875.1","title":"Can the data assimilation of CO from MOPITT or IASI constrain high-latitude wildfire emissions? A Case Study of the 2017 Canadian Wildfires","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Space Agency","keywords":"Atmospheric research; World Wide Web; Meteorology; Computer science; Physics","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":[0.001352423,0.0008118416,0.0004710983,0.0002602874,0.001048958,0.0009590307,0.0008437624,0.0006062083,0.0005194026],"category_scores_gemma":[0.00257074,0.0003286294,0.0006004053,0.0008727803,0.0007722898,0.0007375414,0.0004411942,0.0008722392,0.0001029748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002880259,"about_ca_system_score_gemma":0.006090419,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8386649,"about_ca_topic_score_gemma":0.8663907,"domain_scores_codex":[0.9996334,0.00005751277,0.00001228463,0.00008856691,0.0001020879,0.0001060901],"domain_scores_gemma":[0.9993308,0.0002095447,0.00006901318,0.00009997747,0.0002349568,0.0000558874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000642302,0.0002249117,0.1652711,0.0001499556,0.0006084067,0.0003373989,0.0002774189,0.7828745,0.01525479,0.001847111,0.001666588,0.03084553],"study_design_scores_gemma":[0.0002292989,0.0001039871,0.2099672,0.00004624442,0.0002205979,0.00007428743,0.0004859175,0.7712703,0.01189018,0.0008986332,0.004680031,0.0001333462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897982,0.0003209623,0.005237093,0.0003267017,0.00002713167,0.00002105923,0.001144206,0.0001945708,0.002930152],"genre_scores_gemma":[0.9939944,0.0001000562,0.004391225,0.00003784625,0.00000728061,0.000006125523,0.00121874,0.00003777305,0.0002066594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1613351,"threshold_uncertainty_score":0.3245704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04329714137034454,"score_gpt":0.2783258991781347,"score_spread":0.2350287578077902,"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."}}