{"id":"W4400984508","doi":"10.53555/sfs.v10i3.2906","title":"Current Research Trends of Electrical Arc Machining (EAM) with Reference to Electrical Discharge Machining (EDM)","year":2023,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Advanced Machining and Optimization Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electrical discharge machining; Machining; Current (fluid); Electric arc; Arc (geometry); Electrical current; Mechanical engineering; Materials science; Engineering; Electrical engineering; Electrode; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005178013,0.000153016,0.0003684007,0.001711052,0.000162597,0.00008838102,0.0005493225,0.00005746919,0.00002823344],"category_scores_gemma":[0.0008737778,0.0001146948,0.00004013391,0.006242943,0.0002168734,0.0004132053,0.0000707921,0.0008706229,0.000002204106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009246526,"about_ca_system_score_gemma":0.0001318702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007746919,"about_ca_topic_score_gemma":0.0001880892,"domain_scores_codex":[0.9974307,0.000342025,0.0006008059,0.0002121381,0.0008891444,0.000525173],"domain_scores_gemma":[0.9985534,0.0008090698,0.0001456564,0.0001287312,0.0002214894,0.0001416605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002499561,0.00008898487,0.7901042,0.00003962928,0.00002332917,0.0000229773,0.001471138,0.1034821,0.001185236,0.0006790006,0.003138481,0.09951495],"study_design_scores_gemma":[0.00105946,0.004750306,0.9071307,0.0008691003,0.00001673709,0.00008679695,0.000538678,0.06858294,0.007852359,0.001759479,0.006438453,0.0009149935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979388,0.0006598445,0.01396558,0.0002687643,0.0002241848,0.0001147721,0.00002103149,0.0001897384,0.005168092],"genre_scores_gemma":[0.9923885,0.000473106,0.007015474,0.000008238162,0.00003161529,0.000007775591,0.000005240416,0.00001951309,0.00005057158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1170265,"threshold_uncertainty_score":0.4677119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.224834682876567,"score_gpt":0.3749365492029483,"score_spread":0.1501018663263813,"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."}}