{"id":"W3205622821","doi":"10.1007/s40436-021-00372-z","title":"Effect of back pressure on the grinding performance of abrasive suspension flow machining","year":2021,"lang":"en","type":"article","venue":"Advances in Manufacturing","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Abrasive; Nozzle; Materials science; Grinding; Suspension (topology); Back pressure; Machining; Mechanical engineering; Composite material; Metallurgy; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003485359,0.0001998697,0.0003212132,0.00008565844,0.0000445381,0.00001083371,0.0002465585,0.00006638197,0.00004778271],"category_scores_gemma":[0.0001328832,0.0001551973,0.00006086465,0.0001263065,0.00005022795,0.0004302078,0.00009861954,0.0003906233,0.000004344291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004479328,"about_ca_system_score_gemma":0.000006057749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004130945,"about_ca_topic_score_gemma":0.0000153227,"domain_scores_codex":[0.9989357,0.00009737458,0.0003017614,0.0001977155,0.0002088536,0.0002586066],"domain_scores_gemma":[0.9986799,0.0008070997,0.00009657756,0.0003712822,0.00002094106,0.00002419891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004968296,0.000008266969,0.007508263,0.0008837579,0.00002101152,0.000008512062,0.0002901278,0.9494816,0.01391607,0.0001139832,0.0000138001,0.02770494],"study_design_scores_gemma":[0.0001910702,0.00009726817,0.002340607,0.000792535,0.00001076542,0.000004535318,0.00003721119,0.02028113,0.975192,0.0001912159,0.0007207649,0.0001409528],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924653,0.002062409,0.001039349,0.00001378181,0.0002360011,0.0002099331,0.000006855025,0.0001081572,0.003858239],"genre_scores_gemma":[0.9931749,0.001081571,0.005627792,0.000009976792,0.00002596885,0.0000131859,0.000003910027,0.00003594044,0.00002681016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9612759,"threshold_uncertainty_score":0.6328762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005395945070483531,"score_gpt":0.2420247511636005,"score_spread":0.236628806093117,"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."}}