{"id":"W4250058088","doi":"10.32920/ryerson.14652027.v1","title":"Cryogenic Abrasive Jet Machining of Polydimethylsiloxane and Polytetrafluoroethylene at Different Temperatures","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Polydimethylsiloxane; Materials science; Polytetrafluoroethylene; Machining; Composite material; Abrasive; Erosion; Substrate (aquarium); Jet (fluid); Polymer; Particle (ecology); Carbon fibers; Metallurgy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002099249,0.0002287294,0.0002194161,0.0001293079,0.000137169,0.0002177904,0.0002203972,0.0001896915,0.0005887645],"category_scores_gemma":[0.000472653,0.0001845022,0.0002048974,0.0001966402,0.0002469163,0.0001891959,0.00009356808,0.0003947628,0.0001424229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002576274,"about_ca_system_score_gemma":0.0001513702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00104094,"about_ca_topic_score_gemma":0.002310056,"domain_scores_codex":[0.9998627,0.00000924811,0.000006415602,0.00002712158,0.00006637597,0.00002814564],"domain_scores_gemma":[0.9997222,0.0001035914,0.00006573692,0.00002783113,0.00006680175,0.00001368124],"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":[0.00009021221,0.000009596984,0.0004889446,0.00003763162,0.000004496751,0.00004707477,0.00006407115,0.0004164157,0.9973907,0.00005169713,0.00003166091,0.001367536],"study_design_scores_gemma":[0.000003846884,0.0001666849,0.005835391,0.000003244304,0.00000562598,0.00005532852,0.00002537033,0.00151281,0.9919126,0.00001885851,0.0004562427,0.000003875476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966922,0.0002009259,0.002432692,0.00001541942,0.000009184878,0.000007338853,0.00006944838,0.00002204123,0.0005508833],"genre_scores_gemma":[0.9941167,0.0002230844,0.004205259,0.00001519232,0.000003854714,0.000008731975,0.0001543922,0.00003300895,0.001239732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00104094,"threshold_uncertainty_score":0.002069771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142577185240106,"score_gpt":0.2449617040929815,"score_spread":0.2335359322405804,"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."}}