{"id":"W1972472365","doi":"10.1615/interjenercleanenv.v4.i3.30","title":"SOURCE PM2.5 CHARACTERIZATION ? INITIAL RESULTS AND SOME IMPORTANT PARAMETERS IN FINE PARTICULATE MEASUREMENT FROM OIL AND COAL COMBUSTION","year":2003,"lang":"en","type":"article","venue":"Clean Air","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Particulates; Combustion; Dilution; Aerosol; Particle number; Coal combustion products; Coal; Environmental science; Particle (ecology); Mass concentration (chemistry); Humidity; Gravimetric analysis; Air quality index; Air pollution; Fuel oil; Particle size; Mineralogy; Chemistry; Waste management; Meteorology; Volume (thermodynamics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007251171,0.0001009626,0.0001327061,0.0000216701,0.00009464532,0.00002061654,0.00003380953,0.0000633342,0.00003396038],"category_scores_gemma":[0.0001759629,0.00009705357,0.00001155273,0.00006095192,0.0001190703,0.0002194403,0.000032027,0.0001042488,0.00002048235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103632,"about_ca_system_score_gemma":0.0000133723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004240603,"about_ca_topic_score_gemma":0.0005535148,"domain_scores_codex":[0.9988227,0.0001451853,0.0003359403,0.0002445708,0.0002234949,0.000228058],"domain_scores_gemma":[0.9995577,0.00003815273,0.0001188053,0.0001156341,0.000004525379,0.0001652239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002414058,0.001133975,0.5510234,0.0002457344,0.00006308135,0.00008997065,0.01926682,0.01147567,0.03358782,0.0009563259,0.002280452,0.3774627],"study_design_scores_gemma":[0.001703189,0.000149306,0.9870809,0.00006612027,0.00001231103,0.000004497393,0.0001836344,0.002781339,0.00424328,0.000588898,0.002999525,0.0001869487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976884,0.00003498599,0.0001670723,0.001828033,0.00006620277,0.00007999538,0.00002221603,0.00002087056,0.00009226499],"genre_scores_gemma":[0.9982428,0.0001061205,0.0002352279,0.001307407,0.00001854359,0.000004839712,0.00003831324,0.00000794801,0.000038794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4360575,"threshold_uncertainty_score":0.395773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05058652488128931,"score_gpt":0.2680251542676929,"score_spread":0.2174386293864035,"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."}}