{"id":"W2080497316","doi":"10.1016/j.electacta.2011.11.056","title":"Corrigendum to “Hydrodynamic effects on erosion-enhanced corrosion of stainless steel in aqueous slurries” [Electrochim. Acta 56 (1) (2010) 85–92]","year":2011,"lang":"en","type":"erratum","venue":"Electrochimica Acta","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Slurry; Metallurgy; Aqueous solution; Corrosion; Erosion corrosion; Erosion; Materials science; Chemistry; Geology; Composite material; Physical chemistry; Geomorphology","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0005283251,0.001382814,0.001637384,0.0006781425,0.0003797385,0.00008943532,0.00209539,0.001097434,0.001402638],"category_scores_gemma":[0.000458116,0.001306298,0.0004752431,0.001285184,0.0002947559,0.0002623075,0.0009274847,0.003430812,0.0005546503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299876,"about_ca_system_score_gemma":0.0002808854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004195785,"about_ca_topic_score_gemma":0.003305074,"domain_scores_codex":[0.9927814,0.0005166781,0.001175936,0.002067788,0.001404534,0.002053658],"domain_scores_gemma":[0.996582,0.000236472,0.0009451273,0.001588974,0.00005707683,0.0005903208],"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":[0.0005244812,0.0003570759,0.0001935751,0.000120752,0.00002206698,0.00002009006,0.0006497625,0.00001397607,0.7017902,0.00003458942,0.2945608,0.00171272],"study_design_scores_gemma":[0.003524072,0.008661353,0.02244579,0.003818208,0.0002991793,0.00005180065,0.0001738236,0.002136544,0.8907314,0.001251194,0.06216509,0.00474157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8759696,0.0004571607,0.001008633,0.001309505,0.03105196,0.005185537,0.000178672,0.0005553883,0.08428352],"genre_scores_gemma":[0.9076274,0.0004766496,0.0002767647,0.001459808,0.0003701103,0.0001993717,0.0004029167,0.0002721885,0.08891481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2323957,"threshold_uncertainty_score":0.9998922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006916437478191,"score_gpt":0.2253557477578165,"score_spread":0.2152865833830346,"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."}}