{"id":"W2943522757","doi":"10.1007/s12541-019-00084-2","title":"CNC Tool Path Generation for Freeform Surface Machining Based on Preferred Feed Direction Field","year":2019,"lang":"en","type":"article","venue":"International Journal of Precision Engineering and Manufacturing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Machining; Tangent; Streamlines, streaklines, and pathlines; Vector field; Parametric surface; Surface (topology); Parametric statistics; Grid; Scalar (mathematics); Geometry; Parametric equation; Scalar field; Mechanical engineering; Computer science; Mathematics; Engineering; Physics; Mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002237278,0.0001417313,0.0001885791,0.0002080874,0.00002387248,0.00005976095,0.0001486163,0.00006670813,0.00002334303],"category_scores_gemma":[0.000095897,0.0001239259,0.0001047572,0.00003474861,0.000003024433,0.0002650688,0.00001977794,0.0001972672,0.000001744076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001136393,"about_ca_system_score_gemma":0.000005885144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002932205,"about_ca_topic_score_gemma":5.788078e-7,"domain_scores_codex":[0.9991136,0.00000800826,0.0003452421,0.0001267713,0.0002875109,0.0001189195],"domain_scores_gemma":[0.9994399,0.0002345224,0.0001002637,0.00009673753,0.00008154064,0.00004703188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005830563,0.00001224207,0.00008089588,0.00001848693,0.00005469437,0.000002093941,0.00002673916,0.9009764,0.04881244,0.00001869511,0.0001245765,0.04981447],"study_design_scores_gemma":[0.0003931364,0.0001304336,0.0006121578,0.000131964,0.00001171075,0.000009590077,0.000004907315,0.76557,0.2301175,0.00008303807,0.002811984,0.0001236419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5045708,0.00005874207,0.4942777,0.00005527239,0.0007715503,0.00008959707,0.000004017859,0.00008373515,0.00008864042],"genre_scores_gemma":[0.9687051,0.00005410836,0.03088729,0.00004083613,0.0002280046,0.000004870231,0.000008043789,0.00002535942,0.0000463767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4641343,"threshold_uncertainty_score":0.5053551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007957803959886085,"score_gpt":0.2376433769338016,"score_spread":0.2296855729739155,"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."}}