{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002523238,0.0002432785,0.0003423749,0.0003287795,0.000212203,0.0002582779,0.0002717035,0.0003088771,0.001691793],"category_scores_gemma":[0.0005232226,0.0002973265,0.0001575675,0.0002070335,0.0002133517,0.0003120834,0.0002069098,0.0003992536,0.0003514569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001904712,"about_ca_system_score_gemma":0.0001697236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003452772,"about_ca_topic_score_gemma":0.001352962,"domain_scores_codex":[0.9998011,0.00001215822,0.000009826304,0.00005098697,0.00009258065,0.00003336386],"domain_scores_gemma":[0.9997094,0.00009506806,0.000049083,0.00005595776,0.00007219021,0.00001822298],"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":[0.0000325,0.000005229566,0.00008890402,0.00002154894,0.000001584917,0.00003452047,0.00002742993,0.00003737718,0.9952641,0.00008634419,0.00003602634,0.004364508],"study_design_scores_gemma":[0.000007371664,0.00009664311,0.003297402,0.000003011304,0.000005063751,0.0001576004,0.00001590151,0.0008864885,0.9934842,0.00006388925,0.001978636,0.000003755456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573992,0.002491461,0.03504348,0.00008809524,0.0001796226,0.0000461064,0.00007699847,0.000425808,0.004249117],"genre_scores_gemma":[0.9631939,0.0005609941,0.0249845,0.00004977749,0.00002383592,0.00003093698,0.00008556894,0.00008848545,0.01098205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001691793,"threshold_uncertainty_score":0.00565958,"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."}}