{"id":"W2979159225","doi":"10.1016/j.triboint.2019.105989","title":"Full factorial, microscopic and spectroscopic study of erosion-corrosion of AISI 1018 steel elbows in potash brine-sand slurry","year":2019,"lang":"en","type":"article","venue":"Tribology International","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Corrosion; Metallurgy; Slurry; Potash; Materials science; Carbon steel; Factorial experiment; Brine; Erosion; Composite material; Geology; Potassium","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":[0.0001524758,0.0001437702,0.000210331,0.0001076676,0.0002008145,0.00015781,0.0001794621,0.0002146821,0.0008318647],"category_scores_gemma":[0.000154902,0.0001673483,0.0001850978,0.0001068063,0.0001702544,0.0001306621,0.0001203915,0.0002753545,0.0001574207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001828932,"about_ca_system_score_gemma":0.000138178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002827865,"about_ca_topic_score_gemma":0.004667218,"domain_scores_codex":[0.9998636,0.00001212347,0.000009715397,0.00003371658,0.0000470222,0.00003361228],"domain_scores_gemma":[0.9998271,0.00003768483,0.0000383855,0.00001750571,0.00006213195,0.00001730061],"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":[0.00009079256,0.00002270951,0.0004100231,0.000009844059,0.000001867274,0.00001549833,0.00001953337,0.00005105348,0.9989604,0.000007964781,0.000007433712,0.0004028943],"study_design_scores_gemma":[0.00001076496,0.0008762747,0.04342808,0.000001716293,0.00001977795,0.0001159567,0.0001135076,0.001125584,0.9539559,0.00001880393,0.000326439,0.000007277407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990958,0.00004138931,0.0004647921,0.00000535959,0.000002570488,0.000005632089,0.00004343585,0.000009041372,0.0003318778],"genre_scores_gemma":[0.9977283,0.00003424739,0.0006995017,0.000007008251,0.000001308469,0.000006386296,0.0000570413,0.0000032855,0.001462938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002827865,"threshold_uncertainty_score":0.005622864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00890558945718889,"score_gpt":0.265509650410747,"score_spread":0.2566040609535581,"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."}}