{"id":"W7065966099","doi":"","title":"Experiments in laminar and turbulent premixed counter-flow flames at variable Lewis number","year":2014,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Laminar flow; Turbulence; Laminar flame speed; Premixed flame; Diffusion flame; Lewis number; Flame speed; Turbulence kinetic energy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000904804,0.0007961767,0.0004609762,0.0004221419,0.0009276833,0.0005011786,0.0005112321,0.0004544731,0.0008695385],"category_scores_gemma":[0.0009558594,0.0003237984,0.00042907,0.000425255,0.0006054672,0.0006468305,0.000598517,0.0007850309,0.0001416983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000577495,"about_ca_system_score_gemma":0.0005774816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002830166,"about_ca_topic_score_gemma":0.001977863,"domain_scores_codex":[0.9995454,0.00005633993,0.0000377922,0.0001213009,0.000155619,0.00008358939],"domain_scores_gemma":[0.9991534,0.0003233387,0.0002013508,0.00007590384,0.0001540945,0.00009193891],"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":[0.001422289,0.0002521909,0.002231754,0.00009669497,0.00001922476,0.0000941164,0.0002599001,0.002120041,0.990943,0.0004192604,0.00004215119,0.002099418],"study_design_scores_gemma":[0.0001297976,0.002412734,0.004013299,0.00001463615,0.00003016274,0.00006860751,0.00007338006,0.006794522,0.985952,0.00009572317,0.000383436,0.00003175274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998601,0.00009815281,0.000858117,0.00001159424,0.00001245096,0.00002034987,0.00004242892,0.00001888058,0.0003369708],"genre_scores_gemma":[0.9934376,0.000301132,0.004986105,0.00004115365,0.00001612532,0.00005376516,0.0001514566,0.00002493007,0.0009876377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002830166,"threshold_uncertainty_score":0.005627334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150791277910711,"score_gpt":0.2317812234856731,"score_spread":0.220273310706566,"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."}}