{"id":"W2291692187","doi":"10.1177/1687814015620072","title":"Rolling ball method applied to 3½½-axis machining for tool orientation and positioning and path planning","year":2015,"lang":"en","type":"article","venue":"Advances in Mechanical Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Machining; Ball (mathematics); Curvature; Mechanical engineering; Orientation (vector space); Tool path; Machine tool; Cutting tool; Geometry; Computer science; Engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004313281,0.000204309,0.0003171767,0.0001691429,0.00004261125,0.00003756243,0.00008486321,0.00007500607,9.249474e-7],"category_scores_gemma":[0.0002175918,0.0002218272,0.00002764107,0.0003010538,0.000008475993,0.000358312,0.00005897347,0.0001979867,5.603477e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009764265,"about_ca_system_score_gemma":0.000004234082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002464435,"about_ca_topic_score_gemma":0.000001042354,"domain_scores_codex":[0.9988909,0.00001216875,0.0003232686,0.0003289895,0.0001408042,0.0003038764],"domain_scores_gemma":[0.9994099,0.0002683461,0.00003196748,0.0001134633,0.00002784001,0.0001484465],"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":[0.00002878135,0.000005388613,0.00005315738,0.00007711795,0.00001321563,0.000003258509,0.0003334691,0.9013765,0.01700658,0.01137687,0.000002631977,0.06972307],"study_design_scores_gemma":[0.0004427948,0.00008458653,0.00003822925,0.0001310218,0.00001956962,0.000007406285,0.0001821336,0.978914,0.008912127,0.00977198,0.001164187,0.0003319849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02700284,0.001034823,0.9710836,0.00001682976,0.00009206721,0.0002745421,0.000003971127,0.0003881675,0.0001031942],"genre_scores_gemma":[0.494078,0.0000476017,0.5056435,0.00003929439,0.000036895,0.0001182233,0.000005667986,0.00002987313,9.652139e-7],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4670751,"threshold_uncertainty_score":0.9045852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009515360038786962,"score_gpt":0.2936175372543264,"score_spread":0.2841021772155394,"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."}}