{"id":"W3120374275","doi":"10.20965/ijat.2021.p0080","title":"Measurements of Non-Grinding Forces and Power","year":2021,"lang":"en","type":"article","venue":"International Journal of Automation Technology","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Grinding; Grind; Dynamometer; Power (physics); Materials science; Grinding wheel; Mechanical engineering; Pulverizer; Mechanics; Composite material; Engineering; Physics","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":[0.00007116927,0.00004509778,0.00009311733,0.0002572934,0.00001177269,0.00001203448,0.0001002937,0.0000514478,0.0000252991],"category_scores_gemma":[0.000102711,0.00004477078,0.00002025246,0.0001170626,0.00001919995,0.0001880873,0.00002277125,0.00007575005,6.22792e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003083698,"about_ca_system_score_gemma":0.00001892988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.906776e-7,"about_ca_topic_score_gemma":0.000001054604,"domain_scores_codex":[0.9994974,0.000003468646,0.0002536037,0.00004039166,0.0001586154,0.00004651644],"domain_scores_gemma":[0.9993581,0.00001354142,0.0001312074,0.00003702952,0.0004475255,0.00001259732],"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":[0.00003752845,0.0000936298,0.03490537,0.0001258491,0.0006618467,0.00005505046,0.0008652734,0.5595414,0.2034518,0.003701424,0.0002097237,0.1963511],"study_design_scores_gemma":[0.00169164,0.0001511784,0.01313855,0.0004291534,0.00003961406,0.0007111415,0.0005294685,0.1014092,0.8747432,0.00601306,0.0009314001,0.0002123897],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6766455,0.0005893466,0.320603,0.0003767261,0.0006237088,0.00002495041,0.000001760548,0.00006324179,0.001071824],"genre_scores_gemma":[0.9676114,0.0001383458,0.03220115,0.00001156363,0.00001840297,6.925752e-7,0.000001697759,0.000006334521,0.00001041516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6712913,"threshold_uncertainty_score":0.1825699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007609436166155466,"score_gpt":0.2620825970839902,"score_spread":0.2544731609178348,"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."}}