{"id":"W2935124386","doi":"10.1016/j.combustflame.2019.03.018","title":"Aircraft and MiniCAST soot at the nanoscale","year":2019,"lang":"en","type":"article","venue":"Combustion and Flame","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Light Source (Canada)","funders":"National Research Council Canada; Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Saskatchewan; Canadian Light Source","keywords":"Soot; X-ray photoelectron spectroscopy; XANES; Fourier transform infrared spectroscopy; Materials science; Nanoscopic scale; Infrared; Infrared spectroscopy; Absorption (acoustics); Analytical Chemistry (journal); Chemical engineering; Spectroscopy; Nanotechnology; Chemistry; Combustion; Environmental chemistry; Optics; Organic chemistry; Physics; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007056369,0.00006760163,0.00006757926,0.000009256736,0.000119142,0.00001467819,0.00007656786,0.00004840997,0.0006306092],"category_scores_gemma":[0.00001731097,0.00004419286,0.00001391088,0.00005910065,0.0003032582,0.00007790146,0.0002236001,0.00007303174,0.0004710837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002400054,"about_ca_system_score_gemma":0.0000012593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006578212,"about_ca_topic_score_gemma":0.0000195445,"domain_scores_codex":[0.9995549,0.00001340831,0.00006852404,0.0001739424,0.00007721945,0.0001119681],"domain_scores_gemma":[0.9997343,0.00004356802,0.00002455238,0.0001645054,0.000002044141,0.00003098212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008773825,0.00009343754,0.4369038,0.00003152226,0.00001787112,0.00001142616,0.000747041,0.0003450174,0.1360275,0.003131286,0.02340316,0.3992002],"study_design_scores_gemma":[0.001531627,0.0003491951,0.5990249,0.00003914196,0.00002756851,0.0001109596,0.00100571,0.00308708,0.02038046,0.01010273,0.3637762,0.0005643829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932091,0.0002104816,0.000530368,0.001715198,0.00007448369,0.0001411737,0.00000158465,0.00006862336,0.004048989],"genre_scores_gemma":[0.9894418,0.0001518782,0.0003637298,0.0003099144,0.000006412949,0.000005284236,0.000001405618,0.00000469774,0.009714942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3986358,"threshold_uncertainty_score":0.6904728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008857524115935687,"score_gpt":0.2139593796043538,"score_spread":0.2051018554884181,"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."}}