{"id":"W2054675154","doi":"10.1016/j.wear.2007.01.063","title":"Abrasive jet micromachining of polymethylmethacrylate","year":2007,"lang":"en","type":"article","venue":"Wear","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Erosion; Abrasive; Brittleness; Surface micromachining; Composite material; Jet (fluid); Aspect ratio (aeronautics); Particle (ecology); Mechanics; Fabrication","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":[0.0005219578,0.00009412361,0.000121279,0.00004015987,0.00007158463,0.000007229678,0.0001696365,0.00004536501,0.002413798],"category_scores_gemma":[0.00006116527,0.00008061552,0.00005911956,0.0001733011,0.0001259921,0.00007512453,0.0001418823,0.0001261917,0.000429255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002557571,"about_ca_system_score_gemma":0.000003674437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003144566,"about_ca_topic_score_gemma":0.0000589935,"domain_scores_codex":[0.9991618,0.00003512065,0.0001944446,0.0001793103,0.0001953977,0.0002339057],"domain_scores_gemma":[0.9995483,0.0001106496,0.00009200392,0.0001561334,0.000003387941,0.0000895559],"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":[0.00001236118,0.00002333397,0.1909574,0.000002316295,0.000004275056,0.000008389121,0.0008262615,0.00001219337,0.7938631,0.0001918574,0.000268929,0.01382962],"study_design_scores_gemma":[0.0003608616,0.00007848149,0.3621042,0.00002289685,0.000008697835,0.000009744666,0.0005096681,0.00007643298,0.6309584,0.000310891,0.005378705,0.0001810115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673263,0.00005652598,0.001343769,0.00007152509,0.0001038172,0.00005708796,0.000002907921,0.00002934768,0.03100873],"genre_scores_gemma":[0.9950608,0.000005603141,0.004013968,0.0003301027,0.00002629071,6.813878e-7,0.000001630751,0.00001211456,0.0005488162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1711468,"threshold_uncertainty_score":0.9984981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007357219235617181,"score_gpt":0.2533878527096811,"score_spread":0.2460306334740639,"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."}}