{"id":"W4408439149","doi":"10.5194/egusphere-egu25-6317","title":"Ghost Plumes: Artificial splitting of greenhouse gas emission plumes in passive remote sensing observations in special viewing geometries","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Plume; Environmental science; Remote sensing; Meteorology; Atmospheric sciences; Physics; Geology; Oceanography","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":[0.0005532992,0.0003845165,0.000295111,0.0006197583,0.0001761914,0.0005447143,0.0005106613,0.000468429,0.0003621793],"category_scores_gemma":[0.001004633,0.0002321866,0.0006413146,0.0005781703,0.0004378223,0.0005866304,0.00057983,0.000440633,0.000109292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002763438,"about_ca_system_score_gemma":0.0002653836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00309425,"about_ca_topic_score_gemma":0.003640175,"domain_scores_codex":[0.9997758,0.00003873256,0.00001135117,0.00006305795,0.00005703834,0.00005403161],"domain_scores_gemma":[0.9995387,0.0001502302,0.00008971108,0.00009301701,0.00006355719,0.00006487568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001463189,0.0007551979,0.1185603,0.0003875126,0.0003644547,0.002227303,0.001126802,0.1963336,0.5912929,0.002898001,0.002190642,0.08240014],"study_design_scores_gemma":[0.000193913,0.0003604254,0.2143356,0.00004095768,0.0001040199,0.001385774,0.000383113,0.7132943,0.06451184,0.001946411,0.003324604,0.0001190662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9458017,0.0002462603,0.05164595,0.00007333373,0.00003878298,0.00005494239,0.0007094411,0.0005801356,0.0008495114],"genre_scores_gemma":[0.9458456,0.0001343865,0.05168425,0.00003832985,0.00002521724,0.00002742652,0.001824306,0.00008902155,0.0003314067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00309425,"threshold_uncertainty_score":0.006152511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02411848731378306,"score_gpt":0.2445780865935778,"score_spread":0.2204595992797947,"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."}}