{"id":"W4380318343","doi":"10.1016/j.precisioneng.2023.06.007","title":"On the use of the current signal in spark assisted chemical engraving for micromachining process control","year":2023,"lang":"en","type":"article","venue":"Precision Engineering","topic":"Advanced Machining and Optimization Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Engraving; Machining; Surface micromachining; SIGNAL (programming language); SPARK (programming language); Current (fluid); Materials science; Process (computing); Electrode; Mechanical engineering; Isotropic etching; Electrical discharge machining; Process control; Etching (microfabrication); Computer science; Nanotechnology; Engineering; Fabrication; Composite material; Electrical engineering; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003640368,0.000208733,0.0002336142,0.0002337014,0.0002321623,0.0005828536,0.0005299617,0.0003332756,0.0009163836],"category_scores_gemma":[0.000582542,0.0001124748,0.0001839462,0.0002285925,0.0007385795,0.0007845307,0.0003015605,0.0003530437,0.0001659637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002287766,"about_ca_system_score_gemma":0.0001658222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004900733,"about_ca_topic_score_gemma":0.0008051379,"domain_scores_codex":[0.9997813,0.00003671454,0.00001136883,0.00003462728,0.0001162679,0.00001972651],"domain_scores_gemma":[0.9997446,0.0001386911,0.00001784277,0.00002614568,0.00006249527,0.00001019553],"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":[0.0007396835,0.00007370735,0.0003859489,0.000218225,0.00001950824,0.0001576903,0.0002211397,0.006233437,0.8349813,0.04981706,0.0006706205,0.1064817],"study_design_scores_gemma":[0.00004300765,0.0006997865,0.001031288,0.00003635421,0.00003663787,0.0002634332,0.00008643801,0.1514868,0.8237677,0.008983016,0.01350924,0.00005627413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4542541,0.007884972,0.4876118,0.001117873,0.000641073,0.0001314056,0.00009872523,0.0006081647,0.04765181],"genre_scores_gemma":[0.9568385,0.001258315,0.03737359,0.0001225407,0.00007614297,0.00001656594,0.00003029683,0.0000443496,0.004239594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009163836,"threshold_uncertainty_score":0.003065646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02939620714409159,"score_gpt":0.2672701593735833,"score_spread":0.2378739522294917,"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."}}