{"id":"W2586413124","doi":"10.1080/02786826.2017.1292346","title":"Effective density and volatility of particles sampled from a helicopter gas turbine engine","year":2017,"lang":"en","type":"article","venue":"Aerosol Science and Technology","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Alberta","funders":"","keywords":"Combustor; Condensation particle counter; Volatility (finance); Particle size; Combustion; Particle number; Materials science; Soot; Mass fraction; Particle-size distribution; Differential mobility analyzer; Number density; Particle (ecology); Analytical Chemistry (journal); Composite material; Chemistry; Plasma; Chromatography; Thermodynamics; Physics","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":[0.0001619713,0.0001969177,0.0002524381,0.0007256524,0.0003148246,0.0003736339,0.0002454666,0.0002021649,0.0004889616],"category_scores_gemma":[0.0002813903,0.0001262225,0.0001406888,0.0004488668,0.000161042,0.0001873276,0.0001710015,0.0002033601,0.0000961301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003661556,"about_ca_system_score_gemma":0.0001200103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004614353,"about_ca_topic_score_gemma":0.005078061,"domain_scores_codex":[0.999827,0.000008028882,0.000008194784,0.00004562817,0.00009020467,0.00002097618],"domain_scores_gemma":[0.9998505,0.00002727736,0.00002000588,0.000007483589,0.00007661558,0.0000180345],"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":[0.0002315967,0.00005753445,0.05072059,0.00003644398,0.00003717262,0.0002597574,0.0001808951,0.0009766312,0.9401712,0.0001403873,0.0001659352,0.007021894],"study_design_scores_gemma":[0.00001139877,0.0002787648,0.6250649,0.0000107468,0.00004018692,0.0002829835,0.0002755175,0.00963457,0.3633534,0.00007216152,0.000942719,0.00003256212],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979956,0.000108026,0.001208236,0.000004983115,0.000003095084,0.00001214506,0.0003231061,0.00001948081,0.0003252321],"genre_scores_gemma":[0.9966744,0.0001399143,0.001636204,0.00001180049,0.00000555437,0.00001418635,0.001106148,0.00001111158,0.0004006801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004614353,"threshold_uncertainty_score":0.009175003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008177794643029208,"score_gpt":0.2278146764553023,"score_spread":0.2196368818122731,"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."}}