{"id":"W4392949045","doi":"10.1016/j.combustflame.2024.113421","title":"Dual-range emission spectroscopy for temperature measurement of laminar aluminum dust flames","year":2024,"lang":"en","type":"article","venue":"Combustion and Flame","topic":"Combustion and Detonation Processes","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Canadian Nautical Research Society; Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Fonds de recherche du Québec – Nature et technologies; Shanghai Jiao Tong University","keywords":"Range (aeronautics); Laminar flow; Aluminium; Atmospheric temperature range; Spectroscopy; Analytical Chemistry (journal); Materials science; Chemistry; Environmental chemistry; Physics; Thermodynamics; 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":[0.0002064293,0.0001345465,0.0001526834,0.0001346284,0.00005967956,0.000068386,0.00004478464,0.0000951259,0.00008954958],"category_scores_gemma":[0.00005969111,0.0001220792,0.00005316413,0.000190201,0.00003358669,0.0001230417,0.00001346961,0.0001181547,0.000008495548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005537525,"about_ca_system_score_gemma":0.0000320261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.045399e-7,"about_ca_topic_score_gemma":0.000003193943,"domain_scores_codex":[0.9992797,0.00001146732,0.0002071318,0.000165707,0.0002071729,0.0001288477],"domain_scores_gemma":[0.9996225,0.00004445894,0.00001980357,0.0001014053,0.0001472252,0.00006463402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001005109,0.0001010217,0.0003594489,0.004713235,0.0001341089,0.00001234302,0.001470214,0.001629454,0.8076258,0.01006665,0.1475044,0.02628287],"study_design_scores_gemma":[0.001618781,0.0003097277,0.003317589,0.001423545,0.0001665966,0.00004888643,0.0008203565,0.1014248,0.682542,0.002540028,0.2050464,0.000741255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8657295,0.04302355,0.07262576,0.003550591,0.004531846,0.001504515,0.0001498612,0.002362004,0.006522381],"genre_scores_gemma":[0.9976035,0.0006040258,0.000541985,0.00003625581,0.0001335345,0.00003102699,0.00002503739,0.00002574603,0.0009989004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.131874,"threshold_uncertainty_score":0.4978246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01480277833629368,"score_gpt":0.2375029114387671,"score_spread":0.2227001331024735,"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."}}