{"id":"W4388705385","doi":"10.14447/jnmes.v26i4.a08","title":"Effect of Ceramic Coated Tool on Stray Cut in Electrochemical Micromachining","year":2023,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Advanced Machining and Optimization Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Surface micromachining; Materials science; Ceramic; Biomedical engineering; Composite material; Engineering; Medicine; Fabrication","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001881972,0.0003045494,0.0002971723,0.0001846016,0.0001193313,0.0005122189,0.0003529556,0.0003402358,0.0008240034],"category_scores_gemma":[0.0008218329,0.0002332902,0.0002208414,0.0002451946,0.0001940562,0.0002591049,0.0001904387,0.0003246168,0.0001360533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001810075,"about_ca_system_score_gemma":0.0001837418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006221973,"about_ca_topic_score_gemma":0.002004432,"domain_scores_codex":[0.999635,0.00003974347,0.00003271607,0.00009215287,0.00013754,0.00006277482],"domain_scores_gemma":[0.9994942,0.0002127756,0.00009518466,0.00003943141,0.0001135305,0.00004484792],"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":[0.0001782324,0.00002363279,0.0004895388,0.0001249914,0.00001165001,0.00007306354,0.00003573447,0.0001666242,0.99358,0.00003213066,0.00004292129,0.005241533],"study_design_scores_gemma":[0.000005522004,0.0004013935,0.00309163,0.000007113102,0.00002899616,0.0000912084,0.00003897787,0.0004926959,0.9950977,0.00001221598,0.0007273131,0.000005259915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946283,0.001830849,0.002152019,0.00005562012,0.00005008645,0.00001673705,0.00008858646,0.00005889954,0.001119057],"genre_scores_gemma":[0.9940159,0.0008862439,0.003897036,0.0000428646,0.000009040355,0.000008581565,0.00008611353,0.00002452617,0.001029742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008240034,"threshold_uncertainty_score":0.002756596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006575437548528667,"score_gpt":0.2638801142513805,"score_spread":0.2573046767028518,"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."}}