{"id":"W2068556524","doi":"10.1029/2005jd006655","title":"Satellite‐observed pollution from Southern Hemisphere biomass burning","year":2006,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":348,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental science; Atmospheric sciences; Southern Hemisphere; Moderate-resolution imaging spectroradiometer; Aerosol; SCIAMACHY; Pollution; Troposphere; Plume; Northern Hemisphere; Satellite; Climatology; Chemical transport model; Air quality index; Panache; Meteorology; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001592395,0.0002591867,0.0001980584,0.0005399799,0.0001899279,0.00046333,0.000129489,0.0001798038,0.001521023],"category_scores_gemma":[0.0003381518,0.0001071711,0.0002294244,0.001002028,0.0001117168,0.0001799168,0.000197741,0.0001324081,0.0003116433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005259131,"about_ca_system_score_gemma":0.0002491974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05738347,"about_ca_topic_score_gemma":0.07253414,"domain_scores_codex":[0.9999186,0.000006165657,0.000005001742,0.00001767771,0.00004032122,0.00001223866],"domain_scores_gemma":[0.9997546,0.00002485185,0.0001184518,0.00001991793,0.00006041536,0.00002178717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002016819,0.00004121066,0.9543574,0.00009990501,0.0001806439,0.0002055926,0.0001919138,0.00408135,0.02083104,0.00009193469,0.002001911,0.01771549],"study_design_scores_gemma":[0.000005233084,0.00001028796,0.9977075,0.000003765713,0.00001190851,0.00003363175,0.00002389458,0.0009347755,0.000703213,0.00001877526,0.0005445702,0.000002404645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911392,0.0001514809,0.0001902075,0.00002826422,0.000006145076,0.000006919084,0.00554057,0.00006025745,0.002876958],"genre_scores_gemma":[0.9904715,0.0002187235,0.0003192107,0.00003234711,0.00001388368,0.0000116095,0.008439134,0.00001307117,0.0004805757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05738347,"threshold_uncertainty_score":0.114099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.036005540454525,"score_gpt":0.2686573248099728,"score_spread":0.2326517843554478,"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."}}