{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001706889,0.0005730027,0.0003179489,0.0008154891,0.0003356338,0.0006007159,0.0004353117,0.0008623205,0.0004990411],"category_scores_gemma":[0.0008425299,0.0001941658,0.000476801,0.0005469092,0.0003920259,0.0008749311,0.0002489454,0.0003967157,0.0003256286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005740867,"about_ca_system_score_gemma":0.0003017143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004188663,"about_ca_topic_score_gemma":0.004546291,"domain_scores_codex":[0.9993711,0.0001308844,0.00004451168,0.0001713696,0.000238825,0.00004326552],"domain_scores_gemma":[0.9997088,0.00007322777,0.0000274645,0.00002884971,0.0001511428,0.00001058754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004745775,0.0002383305,0.02654781,0.001047765,0.00006556096,0.0002176395,0.0001882331,0.00266814,0.8303158,0.0006579221,0.0005701609,0.1370081],"study_design_scores_gemma":[0.00001605399,0.0007080155,0.09136006,0.00006611579,0.00008321266,0.0006377681,0.0001522825,0.005015457,0.8915625,0.0006125161,0.009721266,0.00006476358],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7661681,0.08154345,0.141033,0.001274782,0.0002162198,0.0006574615,0.001409401,0.0004947447,0.007202886],"genre_scores_gemma":[0.9063241,0.02053178,0.06671901,0.0004486725,0.0002106894,0.0001934963,0.001541827,0.00008655266,0.00394388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004188663,"threshold_uncertainty_score":0.009026945,"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."}}