{"id":"W2888159438","doi":"10.1007/s00170-018-2546-0","title":"Jet properties and mixing chamber flow in a high-pressure abrasive slurry jet: part I—measurement of jet and chamber conditions","year":2018,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Jet (fluid); Slurry; Materials science; Mixing (physics); Mechanics; Flow (mathematics); Chamber pressure; Composite material; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064998,0.0004112224,0.0005425815,0.0004491885,0.0005957846,0.0008727763,0.0006061142,0.0008731409,0.001421573],"category_scores_gemma":[0.0016385,0.0004462975,0.0004454007,0.0005340737,0.0005705797,0.0009448954,0.0003070757,0.0007542144,0.0002328877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005149629,"about_ca_system_score_gemma":0.0004042947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00251052,"about_ca_topic_score_gemma":0.001605959,"domain_scores_codex":[0.9993291,0.00006583928,0.00005758443,0.000192436,0.000235366,0.0001197129],"domain_scores_gemma":[0.9983432,0.0009058439,0.0003127381,0.0001158016,0.0001988394,0.0001235166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001078635,0.0001019401,0.004122214,0.00004539175,0.00001430385,0.00006899693,0.0001220026,0.0001743434,0.9907874,0.00003251609,0.00007829711,0.003373943],"study_design_scores_gemma":[0.00004721831,0.001008226,0.06203703,0.000007313618,0.00003347564,0.000119695,0.00009223232,0.002090701,0.934068,0.00002183399,0.000445939,0.00002826148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939428,0.000474049,0.004550362,0.00002413747,0.00002690224,0.00004483076,0.0003322467,0.0001582345,0.0004464596],"genre_scores_gemma":[0.9969859,0.0001683262,0.002112833,0.0000274209,0.00001459779,0.00003088676,0.0002594328,0.00004921637,0.0003514078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00251052,"threshold_uncertainty_score":0.004991889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169421156930193,"score_gpt":0.2445763280012243,"score_spread":0.227634212308205,"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."}}