{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001436964,0.0001062014,0.0001426128,0.0002396099,0.00008584283,0.0001860601,0.0007891863,0.00004794996,0.001297292],"category_scores_gemma":[0.0002068087,0.00007486597,0.0001455639,0.0004409919,0.0001147722,0.0005391335,0.0001815916,0.000302475,0.00004786511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001073624,"about_ca_system_score_gemma":0.00003891758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001390422,"about_ca_topic_score_gemma":0.0001015947,"domain_scores_codex":[0.9979966,0.00007586733,0.0004624166,0.0002447242,0.001019462,0.0002008916],"domain_scores_gemma":[0.9995502,0.0001688135,0.00009036688,0.00005179466,0.00003372727,0.0001050885],"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":[0.0002398685,0.000464512,0.0497499,0.00002017936,0.0001576331,0.001385493,0.00322513,0.3115433,0.4945982,0.04282066,0.001613905,0.09418117],"study_design_scores_gemma":[0.0006936948,0.0004669193,0.002150643,0.0007026804,0.0000196726,0.0002778958,0.001190564,0.9153291,0.01030359,0.06670994,0.001777115,0.0003781833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743569,0.0002853877,0.01918728,0.002878399,0.001611912,0.00004805892,0.000003144723,0.0000169832,0.001611879],"genre_scores_gemma":[0.9946118,0.0001052335,0.004474566,0.0006306858,0.0001473304,0.000001319507,5.733989e-7,0.000005665578,0.00002284585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6037858,"threshold_uncertainty_score":0.9996157,"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."}}