{"id":"W2349304920","doi":"","title":"THE SIMULATION OF INFLUENCE OF ELECTROKINETIC EFFECTS ON THE DISTRIBUTION CHARACTERISTIC OF ELECTROLYTE LIQUID IN MICROCHANNEL","year":2010,"lang":"en","type":"article","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Microchannel; Materials science; Kinetic energy; Electrolyte; Molecular dynamics; Electrokinetic phenomena; Ion; Flow (mathematics); Mechanics; Coulomb; Thermodynamics; Molecular physics; Physics; Chemistry; Nanotechnology; Electron; Classical mechanics; Computational chemistry; Physical chemistry","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":[0.0002705592,0.0000937939,0.0001363032,0.00004355465,0.00001970507,0.000003986778,0.0001729498,0.00005482348,0.000001614247],"category_scores_gemma":[0.0005912172,0.00006038735,0.00002849406,0.0002166792,0.00006982354,0.00003704533,0.00001624985,0.0002178892,5.702421e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002655142,"about_ca_system_score_gemma":0.00001159041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002514767,"about_ca_topic_score_gemma":0.0000132219,"domain_scores_codex":[0.9993844,0.00003689084,0.0002561747,0.00007512431,0.0001037397,0.0001436943],"domain_scores_gemma":[0.9985468,0.001018076,0.0001002051,0.0002322153,0.0000913647,0.0000112975],"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":[0.00004864028,0.00001073702,0.0005067909,0.0000547222,0.000006421493,1.188191e-7,0.00002660169,0.002289899,0.9896141,0.007210237,0.000002281125,0.0002294841],"study_design_scores_gemma":[0.0000767383,0.0002653754,0.07288383,0.00006736411,0.000006205234,6.880614e-7,0.000001600219,0.01020579,0.9101464,0.006290018,0.000002839862,0.00005315823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953779,0.00001835657,0.004070777,0.00002324806,0.00002379402,0.0002685312,0.000004844749,0.00006913865,0.0001433848],"genre_scores_gemma":[0.9994208,0.00001101409,0.0005164674,0.000004143335,0.00001193202,0.00001950026,0.000003956322,0.00001150531,6.928233e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07946767,"threshold_uncertainty_score":0.2462524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003303654752811876,"score_gpt":0.2110132527979613,"score_spread":0.2077095980451494,"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."}}