{"id":"W4393038700","doi":"10.2139/ssrn.4767553","title":"Scouring Erosion Resistance of Materials with Composite Microstructures","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Microstructure; Composite number; Erosion; Materials science; Resistance (ecology); Composite material; Geotechnical engineering; Geology; Geomorphology","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0009081101,0.0002905329,0.0003572702,0.00007970019,0.0001764069,0.0001432113,0.0004833853,0.0001384839,0.0002543242],"category_scores_gemma":[0.00001140303,0.0002117995,0.0001045452,0.0001081099,0.0001690457,0.00005951305,0.0008816909,0.002739044,0.00004244697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007776089,"about_ca_system_score_gemma":0.000329127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001998624,"about_ca_topic_score_gemma":0.001520516,"domain_scores_codex":[0.9974572,0.0001046647,0.0004164444,0.0004010511,0.0004495776,0.001171078],"domain_scores_gemma":[0.9992153,0.00002172842,0.0004133712,0.0002583722,0.00001703468,0.00007417745],"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":[0.0001924713,0.00002414471,0.00417055,0.000123009,0.00008638998,0.00001534791,0.0002882234,0.001437828,0.9890703,0.003881474,0.0002043259,0.000505955],"study_design_scores_gemma":[0.0007496271,0.0002520309,0.0137143,0.002698777,0.0002046248,0.0005044452,0.0004616889,0.00002623892,0.5691556,0.4110256,0.0004262422,0.0007808163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953249,0.0021389,0.0005821639,0.0003388677,0.0003865921,0.0001551905,0.00002399862,0.00003184455,0.001017546],"genre_scores_gemma":[0.996182,0.001260868,0.00108679,0.0000466818,0.0001306681,0.000004115791,0.000009732107,0.0000470096,0.001232151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4199147,"threshold_uncertainty_score":0.9995617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004885935205779636,"score_gpt":0.2279972150915387,"score_spread":0.223111279885759,"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."}}