{"id":"W4392961528","doi":"10.1016/j.partic.2024.03.002","title":"Effect of turbulent fluctuation on the ignition of millimeter particle: Experimental studies and numerical modelling with a new correlation of nusselt number","year":2024,"lang":"en","type":"article","venue":"Particuology","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Nusselt number; Mechanics; Turbulence; Ignition system; Particle (ecology); Materials science; Physics; Environmental science; Statistical physics; Thermodynamics; Geology; Reynolds number","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001104757,0.00006715815,0.0001393449,0.00002167772,0.00001139243,0.000003353337,0.00001800425,0.00002871394,0.00002347819],"category_scores_gemma":[0.00001351703,0.00004231992,0.00002275008,0.00008913231,0.00006257891,0.0000343094,0.000007283669,0.00005370233,0.000004516157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001569926,"about_ca_system_score_gemma":0.000004562843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005673821,"about_ca_topic_score_gemma":6.64672e-7,"domain_scores_codex":[0.9995798,0.00004826259,0.0001608229,0.00007136395,0.00007231237,0.00006744175],"domain_scores_gemma":[0.9995467,0.0003272785,0.00002551765,0.00006303148,0.00002089387,0.00001659596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002873586,0.00004436734,0.001662679,0.0003292092,0.0002528578,0.000002331655,0.005611008,0.9517002,0.02905439,0.007523614,0.0001388465,0.003393161],"study_design_scores_gemma":[0.0001968105,0.0003529068,0.0001949163,0.00007286574,0.00006058457,0.000007279009,0.0001257834,0.8605494,0.1381961,0.000197507,0.000007197744,0.00003864418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8900006,0.0005854497,0.109094,0.000081997,0.00007443514,0.0001101641,9.960851e-7,0.00002242134,0.00002989324],"genre_scores_gemma":[0.9996315,0.00003411225,0.0002845162,0.000006206438,0.00001196734,0.00001351834,0.000002617999,0.000008111509,0.00000742077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1096309,"threshold_uncertainty_score":0.1725756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01858531626948941,"score_gpt":0.2679261875026868,"score_spread":0.2493408712331974,"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."}}