{"id":"W7110869444","doi":"10.1021/acs.estlett.5c00340.s001","title":"OMI-DerivedMass- and Number-Conserved Estimationof Black Carbon Emissions","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biomass burning; Urbanization; Xuzhou; Greenhouse gas; Carbon black; Biomass (ecology); Estimation; Pollution","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":[0.000837621,0.001754696,0.0006640833,0.001883975,0.000611148,0.001174584,0.001445094,0.0006038417,0.001234374],"category_scores_gemma":[0.001597775,0.0006253909,0.001530769,0.001461065,0.0003153163,0.001422743,0.001431824,0.0008119967,0.0008088424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008244452,"about_ca_system_score_gemma":0.001308518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01921625,"about_ca_topic_score_gemma":0.01945864,"domain_scores_codex":[0.9996586,0.0000412437,0.00001837919,0.00009430292,0.0001191478,0.00006837105],"domain_scores_gemma":[0.9996592,0.00006413395,0.00006040158,0.00007928636,0.0001182067,0.00001876642],"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":[0.000432637,0.0005224241,0.2628594,0.001353825,0.001283126,0.0005390286,0.0005708413,0.1730294,0.1634406,0.008178188,0.008679841,0.3791107],"study_design_scores_gemma":[0.00005856104,0.00005128069,0.1106417,0.0001055939,0.0003321524,0.0001195535,0.0001427383,0.8259172,0.04833767,0.003684017,0.01046052,0.0001488005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.614442,0.003351704,0.35623,0.0003537356,0.0003035016,0.0002582411,0.01242828,0.002751796,0.009880698],"genre_scores_gemma":[0.8001101,0.001664192,0.1839782,0.0001649572,0.0001346022,0.000240445,0.01114596,0.0003252545,0.002236278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01921625,"threshold_uncertainty_score":0.03820878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263994328403474,"score_gpt":0.2468300265686909,"score_spread":0.2241900832846562,"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."}}