{"id":"W6893245826","doi":"10.5281/zenodo.14748815","title":"Global gridded anthropogenic emissions of air pollutants and methane for the period 1990-2050","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Pollutant; Baseline (sea); Air pollution; Particulates; Methane; Air quality index; Global warming; Work (physics)","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":[0.0004052102,0.001149229,0.0005723447,0.001405639,0.0002122572,0.0006635718,0.0008498391,0.0007711165,0.005451019],"category_scores_gemma":[0.0006776898,0.0004613586,0.001218969,0.003961049,0.00017088,0.00078462,0.0005586598,0.0007413477,0.003227615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027451,"about_ca_system_score_gemma":0.001367056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1038744,"about_ca_topic_score_gemma":0.06779122,"domain_scores_codex":[0.9997849,0.00002713086,0.00001760858,0.00006272995,0.00007288177,0.00003471036],"domain_scores_gemma":[0.9997379,0.00002173981,0.00003773134,0.00003974589,0.0001419451,0.00002084573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001229209,0.0002877021,0.06636541,0.005033884,0.001420539,0.00059558,0.0002655232,0.1934621,0.003600285,0.006656492,0.6711068,0.04997659],"study_design_scores_gemma":[0.0004939456,0.0001889797,0.2726952,0.0006776535,0.0004582566,0.0004406561,0.0004377196,0.03789332,0.004246764,0.003443092,0.6788285,0.0001958673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02060699,0.0005094123,0.0006763662,0.0002382939,0.0001982955,0.0000275152,0.9729124,0.0005052136,0.004325506],"genre_scores_gemma":[0.06275465,0.0006358859,0.003593338,0.0001173681,0.00003904653,0.0001178362,0.9303516,0.0001345907,0.002255613],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1038744,"threshold_uncertainty_score":0.2065395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02918322644013054,"score_gpt":0.2952171772107661,"score_spread":0.2660339507706355,"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."}}