{"id":"W1993569718","doi":"10.1016/j.wear.2007.01.112","title":"Computer simulation of particle interference in abrasive jet micromachining","year":2007,"lang":"en","type":"article","venue":"Wear","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Machining; Abrasive; Particle (ecology); Jet (fluid); Composite material; Surface micromachining; Erosion; Mechanics; Metallurgy; Fabrication; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002851455,0.00005660489,0.00007859546,0.0000223376,0.00002588586,0.000007043905,0.00009148051,0.0000245396,0.0005356874],"category_scores_gemma":[0.00002642709,0.00005057271,0.00002048301,0.0001255169,0.00005710043,0.00008603001,0.00009738155,0.00008050346,0.0001364278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002969479,"about_ca_system_score_gemma":0.000001863922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001343507,"about_ca_topic_score_gemma":0.0002034688,"domain_scores_codex":[0.9994299,0.00002880101,0.0001764201,0.0001300803,0.00009108082,0.0001436846],"domain_scores_gemma":[0.9997045,0.0001150362,0.00005340029,0.00008498169,0.000003112051,0.00003893304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001675773,0.00003722294,0.7473406,0.000002187157,0.000001057754,0.000004511026,0.001641409,0.02051099,0.2217604,0.00007940762,0.00002288601,0.008582585],"study_design_scores_gemma":[0.000294318,0.00006457369,0.7976021,0.00003487437,0.000001527415,0.00000104763,0.0001640165,0.1260068,0.07557286,0.00007682556,0.0001004174,0.00008063191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748748,0.000005255858,0.02366945,0.00002953892,0.00005017254,0.00005330624,6.719442e-7,0.00001233702,0.001304465],"genre_scores_gemma":[0.9981936,7.440007e-7,0.001582959,0.0001605932,0.00001456961,5.032711e-7,9.732535e-7,0.000004678489,0.00004139209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1461875,"threshold_uncertainty_score":0.5865401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677391339424065,"score_gpt":0.2782830719618296,"score_spread":0.2615091585675889,"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."}}