{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006550854,0.0000717713,0.0002996235,0.00004198396,0.00002183504,0.000002492336,0.0001192688,0.0000742743,0.0001142973],"category_scores_gemma":[0.0003143406,0.00004731303,0.0000546156,0.0000782151,0.0002294528,0.00006225627,0.00008422505,0.000170785,0.000002682335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002836713,"about_ca_system_score_gemma":0.00001339816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001953755,"about_ca_topic_score_gemma":0.00000581011,"domain_scores_codex":[0.9991876,0.0001608182,0.0003215489,0.00007257597,0.0001665802,0.00009084823],"domain_scores_gemma":[0.9992601,0.0001384657,0.0004115774,0.0000698151,0.00002824996,0.00009184218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003932635,0.00003623259,0.2411146,0.00001465372,0.000006515361,0.000008495515,0.0003642033,0.000169936,0.7455502,0.00001941105,0.003557087,0.008765396],"study_design_scores_gemma":[0.004499114,0.002930306,0.58371,0.0001055678,0.00007106247,0.0004589194,0.0001566366,0.0003215903,0.4052687,0.0008805689,0.00147116,0.0001264517],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987452,0.000238347,0.0002996523,0.0002320296,0.0001821404,0.00004217304,0.000004461425,0.000001696511,0.0002542825],"genre_scores_gemma":[0.9987739,0.00002876054,0.001049626,0.00006979048,0.00003140363,1.366955e-7,6.663767e-7,0.000004174479,0.0000415016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3425953,"threshold_uncertainty_score":0.1929369,"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."}}