{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003539339,0.0003897071,0.0007043764,0.0005139193,0.0006672846,0.0007951773,0.001001814,0.001499629,0.003197426],"category_scores_gemma":[0.00276598,0.0005633294,0.0003876825,0.0005767308,0.0006984713,0.0004924487,0.0003762258,0.0006587493,0.0001740753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000912276,"about_ca_system_score_gemma":0.001012165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01963661,"about_ca_topic_score_gemma":0.01307707,"domain_scores_codex":[0.9998128,0.00003813712,0.00000799492,0.00002191673,0.00007534339,0.00004389606],"domain_scores_gemma":[0.9974793,0.002019936,0.0001095706,0.0000693528,0.0002239885,0.00009794463],"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":[0.00006823442,0.00005065681,0.001044593,0.00002383945,0.000009891762,0.00008091739,0.00004869774,0.9945089,0.001324604,0.0009295571,0.00009747208,0.001812581],"study_design_scores_gemma":[0.00001397262,0.00001682478,0.0002823184,0.000001212114,0.000002513751,0.000009034427,0.00001085502,0.9990846,0.0003533593,0.0001573033,0.0000648305,0.000003200083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527919,0.0002367728,0.03230593,0.0002217818,0.00006776186,0.00004912355,0.0001418611,0.0003181978,0.01386665],"genre_scores_gemma":[0.9939278,0.00004222082,0.004923054,0.00002087345,0.000005563008,0.00002078797,0.00003923362,0.00002914346,0.0009913002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01963661,"threshold_uncertainty_score":0.03904462,"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."}}