{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001769429,0.0002325606,0.0001654137,0.0006402203,0.0002251629,0.0001570912,0.0001816294,0.0001777111,0.000486914],"category_scores_gemma":[0.0003370598,0.00009427939,0.0002932249,0.0002676912,0.0001409581,0.0002042845,0.0001273044,0.0001806165,0.00004663734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002141418,"about_ca_system_score_gemma":0.0001359767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001751882,"about_ca_topic_score_gemma":0.001019148,"domain_scores_codex":[0.9999461,0.000004508392,0.000002175819,0.00001165326,0.00002608743,0.000009481678],"domain_scores_gemma":[0.9998753,0.00004245503,0.00002159389,0.0000099972,0.00003787166,0.00001276639],"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":[0.001440284,0.0001705409,0.1092435,0.0004150035,0.0000907318,0.00183495,0.0007713611,0.2678706,0.5477235,0.004653314,0.000759688,0.06502657],"study_design_scores_gemma":[0.00002936593,0.0002412984,0.1038807,0.00001544779,0.00003959408,0.000512093,0.0002008254,0.7859459,0.1074576,0.0007888555,0.0008339146,0.0000543588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861736,0.0001105193,0.01217632,0.00001079145,0.000006581995,0.00001027153,0.00007748725,0.00009230377,0.001342048],"genre_scores_gemma":[0.9987606,0.0000305822,0.001006977,0.000001467131,0.000001090202,0.000002568087,0.00003660908,0.000005174939,0.0001549911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001751882,"threshold_uncertainty_score":0.003483415,"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."}}