{"id":"W4404324466","doi":"10.1016/j.ijmecsci.2024.109830","title":"Modeling eroded topography in masked abrasive slurry jet pocket milling","year":2024,"lang":"en","type":"article","venue":"International Journal of Mechanical Sciences","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Slurry; Abrasive; Jet (fluid); Materials science; Metallurgy; Composite material; Mechanical engineering; Engineering drawing; Mechanics; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001162165,0.0003082461,0.0002420331,0.0002098375,0.0001581295,0.0005600767,0.0005438456,0.0009027597,0.000737424],"category_scores_gemma":[0.000496237,0.0002696647,0.000335073,0.0001639836,0.0003020813,0.0003719176,0.0002895335,0.0003316493,0.000106956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005769383,"about_ca_system_score_gemma":0.0005642919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008113058,"about_ca_topic_score_gemma":0.006432056,"domain_scores_codex":[0.9999521,0.000005430309,0.000002156253,0.00001211962,0.00001521893,0.00001295196],"domain_scores_gemma":[0.9998608,0.00007113764,0.00002122833,0.00001551425,0.00001911998,0.00001233203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006230013,0.00004612108,0.00235775,0.00004165405,0.00001058336,0.0002161222,0.00006829579,0.9579625,0.03483542,0.0009233154,0.00006346628,0.00341254],"study_design_scores_gemma":[0.000004811567,0.00001345157,0.0004220281,0.000001197144,0.000001633571,0.000009279865,0.000008440111,0.9980232,0.001341341,0.00009791871,0.00007390101,0.000002900007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9342963,0.0001472579,0.06237062,0.00007787212,0.00001681188,0.00005191732,0.0001719984,0.0001651744,0.002701993],"genre_scores_gemma":[0.9901615,0.00009909605,0.008718573,0.00001249572,0.000001930078,0.00002285833,0.00006566881,0.00001514721,0.0009027764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008113058,"threshold_uncertainty_score":0.01613164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02508014354451794,"score_gpt":0.3111721541907178,"score_spread":0.2860920106461998,"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."}}