{"id":"W814012387","doi":"","title":"Single-particle characterisation of black carbon in urban and biomass burning plumes and impacts on optical properties","year":2013,"lang":"en","type":"dissertation","venue":"Research Explorer (The University of Manchester)","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Soot; Carbon black; Aerosol; Absorption (acoustics); Materials science; Particle (ecology); Coating; Combustion; Carbon fibers; Core (optical fiber); Environmental science; Meteorology; Nanotechnology; Chemistry; Composite material; Physics","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":[0.0003243403,0.0003329177,0.0002302489,0.001078637,0.0003934976,0.0004532388,0.0003350373,0.0004412883,0.0008137767],"category_scores_gemma":[0.0003653271,0.0001781274,0.0003768469,0.000455207,0.0002014232,0.0003293473,0.0002606577,0.0003173814,0.000291435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003476269,"about_ca_system_score_gemma":0.0002282465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01025007,"about_ca_topic_score_gemma":0.01121335,"domain_scores_codex":[0.9998122,0.00001114125,0.000007963274,0.00005548269,0.00008460141,0.0000286622],"domain_scores_gemma":[0.9998223,0.0000380171,0.00002729558,0.000010701,0.00008328388,0.00001842561],"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":[0.0005632017,0.0002385158,0.1290949,0.0004071638,0.0001284922,0.0004033871,0.0007427056,0.01022088,0.8219212,0.0006908459,0.0008263455,0.03476244],"study_design_scores_gemma":[0.00002911617,0.000382931,0.4330392,0.0000526165,0.00009642417,0.0005386886,0.0008711119,0.09790443,0.4629573,0.0005594849,0.003464221,0.0001044635],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993248,0.0002206129,0.004354928,0.00001863314,0.00001141257,0.00003809547,0.0007206428,0.0001035347,0.00128427],"genre_scores_gemma":[0.9912784,0.0001792096,0.007032027,0.00002844727,0.000006778266,0.00003833267,0.0007728557,0.00004117173,0.0006228302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01025007,"threshold_uncertainty_score":0.0203808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08832691279756248,"score_gpt":0.2728997722779507,"score_spread":0.1845728594803882,"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."}}