{"id":"W2156209025","doi":"10.1029/2002jd002862","title":"A backward modeling study of intercontinental pollution transport using aircraft measurements","year":2003,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":371,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Plume; Environmental science; Pollution; Troposphere; Meteorology; Atmospheric sciences; Emission inventory; Air pollution; Pollutant; Air quality index; Geology; Geography; Chemistry","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":[0.0004445329,0.0007666762,0.0004186576,0.000294644,0.0003694014,0.000553717,0.0006315515,0.0008064397,0.0007706962],"category_scores_gemma":[0.001019039,0.0003448034,0.0006108711,0.0003114515,0.0003424669,0.0006467239,0.000510023,0.000501153,0.00011537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000663273,"about_ca_system_score_gemma":0.000773623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04755727,"about_ca_topic_score_gemma":0.01535811,"domain_scores_codex":[0.9998881,0.00005131655,0.000004916394,0.00001948386,0.00002026349,0.0000160093],"domain_scores_gemma":[0.9997616,0.0001189331,0.00003364284,0.00002146419,0.00004537102,0.0000189714],"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":[0.00002395707,0.0000189281,0.003697904,0.000009470419,0.00002091243,0.00005214004,0.00003665695,0.9922253,0.00134765,0.001135289,0.00003769004,0.001394052],"study_design_scores_gemma":[0.000007059875,0.00001609569,0.0004713807,0.000001434504,0.00000533746,0.000004017692,0.000008362433,0.9989114,0.0002371947,0.0002000181,0.0001338675,0.000003771171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8987466,0.0001884046,0.09567952,0.0002373687,0.0000453512,0.00004437803,0.0003585026,0.0001762804,0.004523587],"genre_scores_gemma":[0.9811912,0.0001269044,0.01669842,0.00003368954,0.0000106665,0.0000399621,0.0002529983,0.00003319882,0.001613023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04755727,"threshold_uncertainty_score":0.09456092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.101822789772281,"score_gpt":0.3257661468299958,"score_spread":0.2239433570577148,"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."}}