{"id":"W3032235531","doi":"10.1016/j.cirp.2020.04.097","title":"Tool edge honing using shear jamming abrasive media","year":2020,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Pratt and Whitney Canada","keywords":"Enhanced Data Rates for GSM Evolution; Honing; Abrasive; Discontinuity (linguistics); Jamming; Shear (geology); Materials science; Mechanical engineering; Computer science; Engineering drawing; Engineering; Physics; Composite material; Artificial intelligence; Mathematics; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.00007900746,0.0001453181,0.000176977,0.00006474138,0.0001694086,0.00005832942,0.0001027343,0.0000778138,0.0003183513],"category_scores_gemma":[0.0001940674,0.0001600003,0.00009164889,0.0002302756,0.00002003848,0.0002470799,0.00002101583,0.0002098842,0.000235347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003537725,"about_ca_system_score_gemma":0.00002485209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000157551,"about_ca_topic_score_gemma":0.000004274102,"domain_scores_codex":[0.9991646,0.0000223811,0.000234888,0.0001753357,0.0001374151,0.0002653982],"domain_scores_gemma":[0.9994989,0.0001177025,0.00003308592,0.0001317116,0.00007770412,0.0001408984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005523599,0.0000799054,0.01143903,0.0003511052,0.0004613356,0.0001686949,0.05654355,0.5327159,0.2751896,0.0007564183,0.09436211,0.02787708],"study_design_scores_gemma":[0.0007710118,0.0001319204,0.01918949,0.0004112383,0.0001285971,0.00007635897,0.008340437,0.6532388,0.1076144,0.0004648349,0.2080028,0.001630043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762846,0.0006526602,0.01781668,0.0004156985,0.00106089,0.0001023393,0.0000160965,0.0004479918,0.00320305],"genre_scores_gemma":[0.9973515,0.0001078465,0.001445755,0.0003392905,0.0006326522,0.000004742987,0.000007163639,0.00004271073,0.00006830428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1675752,"threshold_uncertainty_score":0.6524622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07470001683628223,"score_gpt":0.277660697975531,"score_spread":0.2029606811392488,"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."}}