{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001964072,0.0001767632,0.0002431927,0.0003471846,0.000128334,0.0003584474,0.0002387706,0.0003418602,0.001193303],"category_scores_gemma":[0.0005661541,0.0001709596,0.0001415067,0.0002101887,0.0001683151,0.0002387076,0.0001672407,0.0002317326,0.0001888702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001867733,"about_ca_system_score_gemma":0.00008637205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004106551,"about_ca_topic_score_gemma":0.0007691262,"domain_scores_codex":[0.9998685,0.000009263559,0.000006295847,0.0000290018,0.00005378295,0.00003307331],"domain_scores_gemma":[0.9996939,0.00008006683,0.00006539466,0.00003520642,0.0000962316,0.0000293273],"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":[0.0002250653,0.00001413234,0.0003747111,0.00005928067,0.00001060744,0.00004895973,0.00002032736,0.000951996,0.9955834,0.00006872279,0.00005113575,0.002591872],"study_design_scores_gemma":[0.00001454075,0.0003973922,0.007514888,0.000006907109,0.00002486506,0.00008672603,0.00004410286,0.005655887,0.9853513,0.0000406759,0.0008555818,0.000007046451],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975924,0.0006847091,0.0008329215,0.0000109625,0.00002033558,0.000004528019,0.00004522566,0.00004011279,0.0007688022],"genre_scores_gemma":[0.9988198,0.0001012153,0.0004734104,0.000004950231,0.000003011144,0.000002154756,0.00004051931,0.000006954511,0.000548115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001193303,"threshold_uncertainty_score":0.003992021,"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."}}