{"id":"W4414213420","doi":"10.3389/frsen.2025.1654779","title":"Climatology and variability of smoke aerosols from MAIAC EPIC observations over North America (2016–2024)","year":2025,"lang":"en","type":"article","venue":"Frontiers in Remote Sensing","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Naval Research; National Aeronautics and Space Administration","keywords":"Smoke; Aerosol; EPIC; Atmosphere (unit); Biomass burning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002933197,0.0002908632,0.0001869229,0.0008710668,0.0002751243,0.0004062771,0.0002037735,0.0002206876,0.0004550866],"category_scores_gemma":[0.000402881,0.0001187225,0.0003146611,0.0009430831,0.0001257673,0.0003140808,0.000458231,0.000184326,0.0001389501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004046983,"about_ca_system_score_gemma":0.0004590105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06596861,"about_ca_topic_score_gemma":0.1200659,"domain_scores_codex":[0.9999008,0.000007483694,0.000007271126,0.00003251633,0.00003483261,0.00001710351],"domain_scores_gemma":[0.9997752,0.00001418207,0.00005739703,0.0000183474,0.000108829,0.00002595734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009858048,0.00004532537,0.9631304,0.0001020043,0.0001677913,0.0002489907,0.0002553469,0.006409434,0.008079922,0.0001499776,0.003768537,0.01754369],"study_design_scores_gemma":[0.000005008777,0.0000165163,0.9880294,0.00002027928,0.00003019757,0.00007093131,0.0001632104,0.006091241,0.0007712033,0.0000426253,0.004750292,0.000008972319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893785,0.0004619937,0.0005943413,0.00008524859,0.00003648394,0.00001369877,0.007574853,0.0001239424,0.001730977],"genre_scores_gemma":[0.9820943,0.000354363,0.001680929,0.00005973723,0.00004269105,0.00002879759,0.01501121,0.0000225668,0.0007052927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06596861,"threshold_uncertainty_score":0.1311693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009404566012717297,"score_gpt":0.2237875033311014,"score_spread":0.2143829373183841,"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."}}