{"id":"W1518867225","doi":"10.1002/0471643505.ch7","title":"Fluid Flow Analysis","year":2004,"lang":"en","type":"other","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Markov chain; Poisson distribution; Range (aeronautics); Markov process; Aggregate (composite); Computer science; Partial differential equation; Constant (computer programming); Flow (mathematics); Applied mathematics; Mathematical optimization; Mathematics; Algorithm; Mathematical analysis; Statistics; Engineering","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":[0.0004512201,0.0008185125,0.0008972868,0.001185217,0.000990724,0.002034903,0.0009331022,0.00114728,0.006647672],"category_scores_gemma":[0.002310744,0.0002928986,0.0009385116,0.0007279071,0.001032907,0.002129925,0.001220144,0.0009657292,0.001213511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001098777,"about_ca_system_score_gemma":0.001231142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005122934,"about_ca_topic_score_gemma":0.001785822,"domain_scores_codex":[0.9996336,0.00006816894,0.00001668768,0.00007414588,0.0001618324,0.00004555101],"domain_scores_gemma":[0.9995245,0.000198312,0.00005187486,0.00004961764,0.0001535856,0.00002214797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002263608,0.00004716702,0.0006646344,0.0001208809,0.00002657506,0.0001241269,0.0001695447,0.2930328,0.003779083,0.661687,0.005486744,0.03483874],"study_design_scores_gemma":[0.000006229257,0.00001820514,0.0002444344,0.00003950457,0.000009654671,0.0001152953,0.00004646593,0.8580188,0.001113535,0.1137972,0.02657086,0.00001980587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007679069,0.00278017,0.9565827,0.0007495896,0.0004104865,0.0000912477,0.0002274043,0.0002855245,0.03119386],"genre_scores_gemma":[0.5497332,0.01362112,0.332091,0.0006821488,0.001150734,0.0004551013,0.0009046463,0.0005002487,0.1008617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006647672,"threshold_uncertainty_score":0.02223867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005741421097639794,"score_gpt":0.2041971645093043,"score_spread":0.1984557434116645,"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."}}