{"id":"W1960133331","doi":"10.21914/anziamj.v45i0.898","title":"A second-order conditional moment closure model for the simulation of a lifted turbulent flame","year":2004,"lang":"en","type":"article","venue":"ANZIAM Journal","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Australian Research Council","keywords":"Moment closure; Closure (psychology); Turbulence; Mechanics; Moment (physics); Thermodynamics; Mathematics; Lift (data mining); Conditional expectation; Statistical physics; Position (finance); Chemistry; Physics; Statistics; Classical mechanics; Computer science","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":[0.000127899,0.00008407935,0.00009549642,0.00005781402,0.00008913913,0.00002606107,0.00008157392,0.0000486969,0.0001212502],"category_scores_gemma":[0.00001327796,0.0000649213,0.00009468978,0.00007898508,0.0000209349,0.000085286,0.000007391458,0.0001738725,0.000003362294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008243226,"about_ca_system_score_gemma":0.00005107592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.877946e-7,"about_ca_topic_score_gemma":0.000007944534,"domain_scores_codex":[0.9994223,0.000006217695,0.0002359218,0.00005426343,0.0001548653,0.000126393],"domain_scores_gemma":[0.9996039,0.00005459104,0.00005779773,0.00008199106,0.0001544413,0.00004725257],"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":[0.00001840448,0.00002512795,0.0000205812,0.00001596158,0.00006359435,0.000001211805,0.0003762023,0.9964161,0.0002242012,0.001810501,0.0005348251,0.000493322],"study_design_scores_gemma":[0.001027817,0.0000329529,0.000613041,0.00001992036,0.00002500645,0.0000372675,0.00004460911,0.9888748,0.0000732734,0.007443745,0.001731202,0.00007637386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1536377,0.0001698518,0.8452071,0.0005649277,0.0001512399,0.0001397015,0.00003364363,0.00002762565,0.00006819238],"genre_scores_gemma":[0.9973959,0.00005216892,0.002108808,0.0001325399,0.0001188026,0.000009848755,0.00002185058,0.00001545759,0.0001446364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8437582,"threshold_uncertainty_score":0.2647414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464066034452179,"score_gpt":0.2418784692594913,"score_spread":0.2272378089149695,"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."}}