{"id":"W1991210733","doi":"10.1016/j.electacta.2005.04.032","title":"Interaction of mechanical and electrochemical factors in erosion–corrosion of carbon steel","year":2005,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":167,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Corrosion; Materials science; Erosion corrosion; Carbon steel; Metallurgy; Slurry; Erosion; Electrochemistry; Dissolution; Anode; Electrode; Composite material; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004242929,0.000299282,0.0003430937,0.0003060785,0.0002916894,0.0006607088,0.0003184649,0.0006789588,0.001579724],"category_scores_gemma":[0.0008199016,0.0002222309,0.0002773381,0.0002511044,0.0004918032,0.0004279826,0.0001123684,0.000400379,0.0002797284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006044267,"about_ca_system_score_gemma":0.0003614101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004548577,"about_ca_topic_score_gemma":0.003724689,"domain_scores_codex":[0.9996859,0.00006263406,0.00001679861,0.00003729985,0.0001029764,0.00009442889],"domain_scores_gemma":[0.9992711,0.0003753006,0.00006253903,0.00002125782,0.0001995749,0.00007028094],"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":[0.003511659,0.0001359165,0.003718967,0.0002495207,0.00005226569,0.0004503146,0.00007486178,0.001270036,0.9827362,0.0004056878,0.0002455949,0.007149011],"study_design_scores_gemma":[0.0001189668,0.0009435708,0.06728326,0.00001278927,0.00007671221,0.0005538675,0.0002264576,0.007287493,0.9209682,0.0003767787,0.002103637,0.00004823735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995442,0.002580584,0.0005320415,0.0001304582,0.00003026349,0.000009789808,0.00006886976,0.00001623213,0.001189796],"genre_scores_gemma":[0.9982906,0.0004644027,0.0001734242,0.00002086717,0.00001692026,0.000002766568,0.00007305522,0.000004764771,0.0009532801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004548577,"threshold_uncertainty_score":0.00904423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008699124471598554,"score_gpt":0.2364171382153163,"score_spread":0.2277180137437177,"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."}}