{"id":"W2171281043","doi":"10.1080/00102200490514769","title":"PREDICTING THE LENGTH OF LOW-MOMENTUM JET DIFFUSION FLAMES IN CROSSFLOW","year":2004,"lang":"en","type":"article","venue":"Combustion Science and Technology","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas","funders":"","keywords":"Jet (fluid); Diffusion flame; Mechanics; Dilution; Diffusion; Chemistry; Momentum (technical analysis); Thermodynamics; Analytical Chemistry (journal); Materials science; Combustion; Combustor; Physics; Chromatography; Physical chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006790743,0.0005053349,0.0003155982,0.000483678,0.0003446931,0.0005712484,0.0005675401,0.0006269797,0.0004886916],"category_scores_gemma":[0.001452458,0.0004652144,0.0003957707,0.0002026337,0.0003107153,0.001000381,0.0004426544,0.0004651583,0.0001496003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061222,"about_ca_system_score_gemma":0.0004474745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005254328,"about_ca_topic_score_gemma":0.003736872,"domain_scores_codex":[0.9999082,0.00001626679,0.000004454233,0.00002623809,0.00003250578,0.00001226875],"domain_scores_gemma":[0.999393,0.00032451,0.0001163543,0.00004577858,0.00007535062,0.00004503903],"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":[0.0002099654,0.00006554477,0.0138656,0.00003050028,0.00001543359,0.00005872113,0.00005245147,0.9358642,0.04238404,0.0008870609,0.00007789902,0.00648862],"study_design_scores_gemma":[0.000005926584,0.00004569546,0.001902405,0.000001863952,0.000002979744,0.000007713528,0.000003192515,0.988061,0.009722026,0.0001799843,0.00006080257,0.00000636724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537089,0.0001218405,0.04512702,0.00003903876,0.000009059251,0.00001400771,0.00008918431,0.0001539308,0.0007370808],"genre_scores_gemma":[0.9935231,0.00006504371,0.005908513,0.000005805719,0.000002534798,0.00001367282,0.00009582238,0.00001348823,0.0003719573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005254328,"threshold_uncertainty_score":0.0104475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004945679390622963,"score_gpt":0.2124649172924895,"score_spread":0.2075192379018665,"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."}}