{"id":"W3173875301","doi":"10.18280/jesa.540309","title":"Remarkable Characteristics of a Novel Path Interval Determination in Filleted End Milling","year":2021,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Seikei University","keywords":"Interval (graph theory); Path (computing); Numerical control; Intersection (aeronautics); Boundary (topology); Tool path; Process (computing); Computer science; End milling; Mechanical engineering; Engineering drawing; Engineering; Mathematics; Machining; Mathematical analysis; Aerospace engineering","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":[0.0002229676,0.0001432464,0.0002940026,0.0001516111,0.0000639702,0.00007474164,0.0001083101,0.00006247095,0.00006632845],"category_scores_gemma":[0.0003372955,0.0001451114,0.00006175948,0.0003262038,0.00002462153,0.0003058155,0.00003395411,0.0002336416,0.000002322209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001259452,"about_ca_system_score_gemma":0.00004849774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003202805,"about_ca_topic_score_gemma":0.000008490821,"domain_scores_codex":[0.9988226,0.0000449557,0.0006209378,0.0001187284,0.000187191,0.0002055635],"domain_scores_gemma":[0.9993142,0.00008359275,0.0002168566,0.0001148903,0.0002121119,0.00005830787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002788185,0.000165509,0.002689529,0.001628511,0.00007197478,0.0004148863,0.002129442,0.2910546,0.04139642,0.000208984,0.00008327564,0.660129],"study_design_scores_gemma":[0.0005588918,0.00005456025,0.05462828,0.00112462,0.00002076345,0.0006344939,0.0001124988,0.9397445,0.002537277,0.0002101566,0.0001940488,0.0001799025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4239256,0.001100143,0.5732428,0.00001934154,0.0004508394,0.00007573292,0.00002303801,0.0001194646,0.001043067],"genre_scores_gemma":[0.9075715,0.000746116,0.09144094,0.00001459213,0.00006594724,0.000003107959,0.00001681493,0.00004245142,0.00009851755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6599491,"threshold_uncertainty_score":0.591747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462528682206453,"score_gpt":0.2429134849682933,"score_spread":0.2282881981462288,"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."}}