{"id":"W4405657297","doi":"10.1016/j.wear.2024.205719","title":"Slurry erosion of tool steels by large erodent particles","year":2024,"lang":"en","type":"article","venue":"Wear","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Materials science; Slurry; Metallurgy; Erosion; Erosion corrosion; Composite material; Corrosion","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001776387,0.00006112414,0.00006748622,0.00001083322,0.00005626647,0.00002441747,0.00009067518,0.0000262473,0.004899014],"category_scores_gemma":[0.00001589053,0.00004870326,0.00003826318,0.00009939872,0.00005689768,0.00009756437,0.00009543694,0.00007092703,0.00147237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002745566,"about_ca_system_score_gemma":0.000003468158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002812504,"about_ca_topic_score_gemma":0.00000773894,"domain_scores_codex":[0.999337,0.00003034633,0.0001218412,0.0001638972,0.0001981288,0.0001488373],"domain_scores_gemma":[0.9997925,0.00002919122,0.00001872912,0.0001146499,0.000001528202,0.00004341667],"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":[0.000003992312,0.00005391507,0.01538495,0.00001030904,0.000002567614,0.000003285618,0.0008408664,0.0000399657,0.9489583,0.001188441,0.02992764,0.003585758],"study_design_scores_gemma":[0.0004672821,0.0001527413,0.08162137,0.0002858661,0.00002418837,0.000004410452,0.0006990598,0.008586305,0.7872292,0.00111404,0.1194927,0.0003228742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959329,0.0001994299,0.0008291355,0.0002449371,0.0001139982,0.00006073843,0.00001957575,0.00004824629,0.002551057],"genre_scores_gemma":[0.9973366,0.00002816142,0.0001514769,0.0001558911,0.00001445143,0.000003763876,0.000002723473,0.000008677104,0.002298263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1617291,"threshold_uncertainty_score":0.9993051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007301424534313715,"score_gpt":0.2395981752834502,"score_spread":0.2322967507491365,"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."}}