{"id":"W2011166825","doi":"10.1016/j.wear.2013.03.005","title":"Surface roughness and erosion rate of abrasive jet micro-machined channels: Experiments and analytical model","year":2013,"lang":"en","type":"article","venue":"Wear","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of New Brunswick; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Materials science; Surface roughness; Profilometer; Surface finish; Borosilicate glass; Machining; Abrasive; Composite material; Jet (fluid); Particle (ecology); Optics; Mechanics; Metallurgy","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":[],"consensus_categories":[],"category_scores_codex":[0.0001352009,0.0001243428,0.0001633539,0.00001656301,0.00009050676,0.00003598759,0.00008981346,0.00004929087,0.0004834257],"category_scores_gemma":[0.00002455245,0.00009790841,0.00002309984,0.00007036221,0.0001777262,0.0001913636,0.0002450001,0.00008436717,0.00007694425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001707391,"about_ca_system_score_gemma":0.000003209352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005510402,"about_ca_topic_score_gemma":0.00000775606,"domain_scores_codex":[0.9992449,0.00005483976,0.0001504247,0.0002606595,0.0001149648,0.0001742329],"domain_scores_gemma":[0.9996473,0.00004257694,0.0000560157,0.0001242061,0.000006973639,0.0001229921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001335526,0.0000405199,0.06629662,0.000007365169,0.000004532811,9.152557e-7,0.001024032,0.001527582,0.9302746,0.00007494463,0.0005018319,0.0002337039],"study_design_scores_gemma":[0.00115844,0.0001307302,0.1399957,0.00006312841,0.00001847645,0.000004531001,0.0006440635,0.5933755,0.2632428,0.0009419419,0.00008575899,0.000338884],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982751,0.00006345959,0.0006163624,0.0002167388,0.00003532778,0.0001544439,0.0000047271,0.00001441208,0.0006194268],"genre_scores_gemma":[0.9975696,0.00003265042,0.001540477,0.0002484116,0.000007058162,0.000004431095,0.000002630595,0.00001134918,0.0005834102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6670318,"threshold_uncertainty_score":0.5293173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074589978854906,"score_gpt":0.2665519768454833,"score_spread":0.2458060770569342,"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."}}