{"id":"W4249396519","doi":"10.32920/ryerson.14665170","title":"Abrasive jet micro-machining of metals","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Abrasive; Materials science; Machining; Jet (fluid); Alloy; Erosion; Aluminium; Metallurgy; Composite material; Mechanics; Geology","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":[0.0003500988,0.0002894945,0.0005034207,0.00005004144,0.00007422009,0.0000637001,0.0004930435,0.000189029,0.02328494],"category_scores_gemma":[0.0001355807,0.0002420307,0.0002802958,0.000130897,0.0001642771,0.00008753823,0.002987537,0.0005469413,0.000209396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006497082,"about_ca_system_score_gemma":0.00003098801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001026251,"about_ca_topic_score_gemma":0.0001967941,"domain_scores_codex":[0.9981672,0.000145836,0.0004398701,0.0006115091,0.0003830261,0.0002526247],"domain_scores_gemma":[0.9989143,0.0001203275,0.0003052138,0.0005293853,0.0000162728,0.0001145062],"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":[0.00001506562,0.0002451363,0.3046891,0.0001631272,0.000174442,0.00006612908,0.003352276,0.007783113,0.669101,0.000420061,0.004524388,0.009466128],"study_design_scores_gemma":[0.0008678849,0.0001050113,0.2548758,0.0007621137,0.0002500787,0.00003858837,0.003439037,0.0030994,0.7293188,0.001622639,0.003905447,0.00171518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8659009,0.000233201,0.003122425,0.0001790098,0.0003964088,0.0001868703,0.00002077839,0.00005496536,0.1299055],"genre_scores_gemma":[0.9778522,0.00006253814,0.01943943,0.0006069895,0.00002859846,0.00001317565,0.00005847135,0.00002695436,0.001911681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1279938,"threshold_uncertainty_score":0.9869725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051373037067714,"score_gpt":0.2721938941749071,"score_spread":0.2516801638042299,"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."}}