{"id":"W2375105804","doi":"","title":"Oxygen transport and diffusion numerical simulation on water and air mixture of plug discharge","year":2013,"lang":"en","type":"article","venue":"Advances in Water Science","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Oxygen; Diffusion; Spark plug; Volume (thermodynamics); Chemistry; Saturation (graph theory); Limiting oxygen concentration; Inlet; Plug flow; Volume fraction; Reynolds number; Analytical Chemistry (journal); Environmental chemistry; Thermodynamics; Turbulence; Geology","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":[0.0002199301,0.0004338959,0.0006406363,0.0003137319,0.0005483467,0.00047892,0.000539338,0.0009898796,0.0007037699],"category_scores_gemma":[0.0006687208,0.0002404358,0.0005531716,0.0004675633,0.0004906822,0.0004697339,0.0005222962,0.0004892657,0.00006739112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006805651,"about_ca_system_score_gemma":0.0006778054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01572457,"about_ca_topic_score_gemma":0.004552458,"domain_scores_codex":[0.9998722,0.00001913786,0.000008058857,0.00002459389,0.00004295149,0.00003303639],"domain_scores_gemma":[0.9997535,0.0001186616,0.00003027183,0.00001281853,0.00005769444,0.00002700517],"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":[0.0001652279,0.00008474834,0.003390758,0.0001203646,0.000013623,0.0002649327,0.0001302869,0.9634051,0.0258669,0.002929135,0.0002024514,0.003426581],"study_design_scores_gemma":[0.00001728124,0.00002729406,0.0003288146,0.000001815955,0.000002473808,0.00001047192,0.00002229623,0.9969663,0.002316011,0.0001504064,0.0001519595,0.000004943138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591529,0.0002461616,0.03427146,0.000238605,0.0000505011,0.00004583411,0.0002771954,0.0001699159,0.005547429],"genre_scores_gemma":[0.9907742,0.0001374552,0.007085782,0.00001833286,0.000005138115,0.00005436247,0.0001294107,0.00001161426,0.00178363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01572457,"threshold_uncertainty_score":0.03126609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003334858427651465,"score_gpt":0.1995150293680336,"score_spread":0.1961801709403821,"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."}}