{"id":"W2030889544","doi":"10.1016/j.electacta.2010.09.047","title":"Hydrodynamic effects on erosion-enhanced corrosion of stainless steel in aqueous slurries","year":2010,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Slurry; Corrosion; Materials science; Particle (ecology); Erosion corrosion; Current (fluid); Transient (computer programming); Erosion; Kinetic energy; Metallurgy; Aqueous solution; Current density; Range (aeronautics); Composite material; Chemistry; Thermodynamics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001918712,0.0002054361,0.0002491963,0.00008818723,0.0001134763,0.00001920583,0.0003445582,0.0001135714,0.0003536314],"category_scores_gemma":[0.0001651376,0.0001780099,0.00006417874,0.000283927,0.0001279181,0.0001171572,0.0001462875,0.0005980283,0.00008915354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000863887,"about_ca_system_score_gemma":0.0000179303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004617795,"about_ca_topic_score_gemma":0.0008184825,"domain_scores_codex":[0.9985318,0.00008598871,0.0002530894,0.000390206,0.0003288469,0.0004100931],"domain_scores_gemma":[0.9991977,0.0002288196,0.0001353535,0.0003344493,0.000007183323,0.00009646086],"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":[0.00009092232,0.0001231564,0.00688361,0.00001303301,0.000001276855,0.000002808516,0.0002880086,0.00004945648,0.9886495,0.000110229,0.0001451873,0.003642764],"study_design_scores_gemma":[0.0005698821,0.0003707109,0.06314261,0.00006549797,0.000005411848,0.000003801548,0.00002974428,0.00192578,0.9331002,0.0004477936,0.0001275215,0.0002110839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950762,0.000007386293,0.0001192853,0.0001882965,0.0002030798,0.0002684481,0.000002518463,0.00004788826,0.004086937],"genre_scores_gemma":[0.9990618,0.00001625553,0.0002625945,0.0003170024,0.00002532401,0.00002051839,0.000009081958,0.00002563074,0.0002618122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.056259,"threshold_uncertainty_score":0.7259035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00275486223312434,"score_gpt":0.2140109269314699,"score_spread":0.2112560646983455,"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."}}