{"id":"W2897109808","doi":"10.1115/1.4041779","title":"Prediction Algorithm for WEDM Arced Path Errors Based on Spark Variable Gap and Nonuniform Spark Distribution Models","year":2018,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced Machining and Optimization Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Electrical discharge machining; Machining; Deflection (physics); Spark gap; Mechanical engineering; RADIUS; Engineering; SPARK (programming language); Voltage; Structural engineering; Computer science; Electrical engineering; Physics; Optics","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":[0.0006186137,0.0001284265,0.0001439296,0.0001976848,0.0001671008,0.00007353504,0.0001007615,0.0000493482,0.000001675654],"category_scores_gemma":[0.00006618615,0.0001148867,0.00002283745,0.000130907,0.00006604761,0.0005769055,0.0000155109,0.0001500193,1.410193e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009607627,"about_ca_system_score_gemma":0.00002708708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001800386,"about_ca_topic_score_gemma":1.290136e-7,"domain_scores_codex":[0.9991729,0.000003154402,0.0002199743,0.0001299532,0.0002445964,0.0002293994],"domain_scores_gemma":[0.9995532,0.00004702744,0.00006683826,0.00008830227,0.0001277087,0.0001169311],"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":[0.000009741391,0.000006066678,0.000006258344,0.00003748712,0.000005510345,8.347363e-7,0.00005811552,0.9851645,0.001195166,0.0001129123,0.00008791862,0.01331553],"study_design_scores_gemma":[0.0002682961,0.0002014501,0.0002393956,0.0001466632,0.00001158652,0.00001936247,0.00001868108,0.9565381,0.04121073,0.0003757265,0.0008555034,0.0001145189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04481103,0.00003678827,0.9543729,0.00002123614,0.000312423,0.00008875458,0.0000194504,0.0001215666,0.0002158778],"genre_scores_gemma":[0.8277683,0.00006634885,0.1719631,0.00001697283,0.0001503556,0.000004919309,0.000003743918,0.00001584789,0.00001044982],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7829573,"threshold_uncertainty_score":0.4684944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182810525894902,"score_gpt":0.2137299151310429,"score_spread":0.2019018098720939,"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."}}