{"id":"W2262392616","doi":"10.1007/s00170-016-8430-x","title":"Determination of cutter-head geometry for the face-milling of hypoid gears","year":2016,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Milling cutter; Head (geology); Face (sociological concept); Flank; Geometry; Spiral bevel gear; Point (geometry); Engineering; Curvature; RADIUS; Enhanced Data Rates for GSM Evolution; Plane (geometry); Radius of curvature; Regular polygon; Surface (topology); Rake; Machining; Structural engineering; Mechanical engineering; Mathematics; Computer science; Geology; Mean curvature","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005389636,0.0006570623,0.0007514037,0.0007778776,0.0003970834,0.0005444854,0.0007652456,0.0006092907,0.002374109],"category_scores_gemma":[0.001939116,0.0004502767,0.0004249089,0.0003690432,0.0003286385,0.0004115502,0.0004612331,0.0005128036,0.0005377344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003680708,"about_ca_system_score_gemma":0.001105538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001928094,"about_ca_topic_score_gemma":0.003514783,"domain_scores_codex":[0.999633,0.00005221385,0.00001816408,0.00007568152,0.0001798864,0.00004112449],"domain_scores_gemma":[0.9991813,0.0003226227,0.00009299014,0.0001388649,0.0002255446,0.0000385416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001074361,0.0002160539,0.02311134,0.0007383433,0.0000460957,0.0007271584,0.0006816028,0.09895015,0.5579352,0.004207712,0.001544722,0.3107671],"study_design_scores_gemma":[0.0001104433,0.0008367075,0.0705362,0.00006320744,0.00007004978,0.0009109108,0.0004677257,0.5753699,0.3465478,0.001507549,0.003474313,0.0001050956],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.546743,0.0002935907,0.4478916,0.00005941294,0.00003218547,0.0002102119,0.000382914,0.001134134,0.003252993],"genre_scores_gemma":[0.8832204,0.00009748584,0.1158533,0.000007629821,0.000004718724,0.00003879054,0.0002065569,0.00008669371,0.0004844293],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002374109,"threshold_uncertainty_score":0.0079422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008017244175575512,"score_gpt":0.2417975994170735,"score_spread":0.233780355241498,"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."}}