{"id":"W2090888362","doi":"10.4028/www.scientific.net/amr.875-877.828","title":"Analysis of Flame Characteristic of Kerosene Pool Fire","year":2014,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Fire dynamics and safety research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Association of Emergency Physicians","funders":"Division of Materials Research; Chinese Academy of Engineering; National Natural Science Foundation of China","keywords":"Kerosene; Combustion; Buoyancy; Computational fluid dynamics; Thermal radiation; Mechanics; Turbulence; Wind speed; Environmental science; Meteorology; Flame spread; Thermal; Probability density function; Materials science; Chemistry; Thermodynamics; Physics; Mathematics","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":[0.001310921,0.0001192904,0.0005536693,0.0004429745,0.0000472834,0.00002522663,0.0003435722,0.00008384044,0.0004116113],"category_scores_gemma":[0.0003322005,0.0001136376,0.00008207929,0.001075443,0.0001422766,0.00009136907,0.0001209232,0.0001470569,0.00002705122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004676859,"about_ca_system_score_gemma":0.00002112666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000720779,"about_ca_topic_score_gemma":0.00001653787,"domain_scores_codex":[0.9981498,0.000167655,0.0004651794,0.0002017544,0.0005650961,0.0004505338],"domain_scores_gemma":[0.9986895,0.0003247104,0.00005201801,0.0005262187,0.0003204883,0.00008708661],"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":[0.00007608841,0.00002815331,0.0002263916,0.0003421625,0.000222948,0.000002034978,0.00006769301,0.00855388,0.9776653,0.0007207764,0.00001664998,0.01207792],"study_design_scores_gemma":[0.0005235398,0.0002452349,0.05243934,0.0001078021,0.00008343925,0.00000104697,0.00004625567,0.2098687,0.7348788,0.0006352601,0.0009184353,0.0002520469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977752,0.00007396986,0.000829551,0.00003198165,0.0001224866,0.0001896934,0.0002082405,0.00003957982,0.0007293153],"genre_scores_gemma":[0.9987798,0.0004797946,0.0003542404,0.000002302308,0.00003761192,0.00003250356,0.0001149349,0.00003293449,0.0001658769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2427864,"threshold_uncertainty_score":0.4634007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790874805636193,"score_gpt":0.3115654486091682,"score_spread":0.2936567005528062,"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."}}