{"id":"W2153980765","doi":"10.1115/imece2008-69282","title":"Thermal Accommodation Coefficients Between Nitrogen and Soot in Laser-Induced Incandescence Experiments","year":2008,"lang":"en","type":"article","venue":"","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Incandescence; Monte Carlo method; Materials science; Scattering; Graphite; Molecular dynamics; Thermal; Molecular physics; Soot; Direct simulation Monte Carlo; Laser; Molecule; Chemical physics; Computational physics; Atomic physics; Optics; Physics; Chemistry; Thermodynamics; Combustion; Physical chemistry; Computational chemistry; Composite material; Dynamic Monte Carlo method; Quantum mechanics","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":[0.0005181324,0.0002825928,0.0003213612,0.0002949737,0.000414522,0.0003473596,0.0005063639,0.0003913118,0.0006682217],"category_scores_gemma":[0.001562815,0.000274276,0.0002090056,0.0003346871,0.0006946943,0.0008880833,0.0005356307,0.0004171702,0.0000655351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009915588,"about_ca_system_score_gemma":0.000487453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005257809,"about_ca_topic_score_gemma":0.003666594,"domain_scores_codex":[0.9997994,0.00003644911,0.00001106822,0.0000375862,0.0000662628,0.00004915773],"domain_scores_gemma":[0.9995418,0.0002939352,0.00005351967,0.00003179723,0.00003841262,0.00004067906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008031453,0.0001785093,0.007785459,0.0001624219,0.00004149993,0.0005225783,0.0005498126,0.766335,0.196612,0.02068681,0.000118159,0.006204652],"study_design_scores_gemma":[0.00004450036,0.0001888873,0.003488042,0.0000151389,0.00001308202,0.00007722645,0.0001514803,0.9173215,0.07521563,0.003045781,0.000396593,0.00004217491],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928085,0.0001346915,0.005905606,0.00004748333,0.000005916623,0.00001200526,0.00002377859,0.00001878073,0.001043288],"genre_scores_gemma":[0.998321,0.00006536816,0.001281766,0.000007402631,8.129816e-7,0.000007816023,0.00001839061,0.000008421031,0.0002890079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005257809,"threshold_uncertainty_score":0.01045442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03716315962332187,"score_gpt":0.2947344753589865,"score_spread":0.2575713157356646,"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."}}