{"id":"W1873958662","doi":"10.1115/1.4031599","title":"Slurry Erosion of Pipeline Steel: Effect of Velocity and Microstructure","year":2015,"lang":"en","type":"article","venue":"Journal of Tribology","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Slurry; Microstructure; Materials science; Erosion; Metallurgy; Scanning electron microscope; Ferrite (magnet); Composite material; Erosion corrosion; Corrosion; 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":[0.0001969937,0.0002190142,0.0001977651,0.0001748708,0.0001222925,0.0002511473,0.0001542992,0.0002285112,0.0004777134],"category_scores_gemma":[0.0006268274,0.0001835531,0.0001693967,0.0001598676,0.0001641484,0.0002390991,0.0001101635,0.0002265426,0.00009768624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002264894,"about_ca_system_score_gemma":0.0001496057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001712484,"about_ca_topic_score_gemma":0.003077243,"domain_scores_codex":[0.9998943,0.00001200966,0.000009032079,0.00002195493,0.00003712721,0.00002566175],"domain_scores_gemma":[0.9997486,0.00006458506,0.00007398213,0.00001495052,0.00007731126,0.00002050571],"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":[0.0003039857,0.00004079859,0.005375567,0.0000590023,0.00001199456,0.0001769837,0.00006967782,0.002171805,0.9860271,0.00005294321,0.00005094579,0.005659113],"study_design_scores_gemma":[0.00002806946,0.001603639,0.07470562,0.00001502367,0.0000409124,0.0003659658,0.0001998795,0.01464825,0.9074286,0.00005334171,0.0008908923,0.00001984138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991099,0.0001777603,0.0004303827,0.000006704785,0.000002942111,0.000003606599,0.00001824934,0.00001287826,0.0002374394],"genre_scores_gemma":[0.9990553,0.0001347825,0.0004418491,0.000004939881,0.000001481248,0.000001523111,0.00003657148,0.000004593186,0.0003189345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001712484,"threshold_uncertainty_score":0.003405094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01117028974111856,"score_gpt":0.2627447854836117,"score_spread":0.2515744957424932,"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."}}