{"id":"W2599569622","doi":"","title":"Time-Optimal Trajectory Generation and Way-Point Sequencing for 5-Axis Laser Drilling","year":2016,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Pratt and Whitney Canada","keywords":"Trajectory; Drilling; Point (geometry); Computer science; Laser drilling; Geology; Mechanical engineering; Engineering; Mathematics; Physics; Geometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005195309,0.0007278978,0.0006456613,0.0004875287,0.0004330784,0.0005878144,0.0008841268,0.0007043184,0.003101054],"category_scores_gemma":[0.001363037,0.0004184702,0.0006132606,0.0004834613,0.0006512952,0.000614761,0.0009354897,0.0008020817,0.0005798493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009811774,"about_ca_system_score_gemma":0.001363899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0113705,"about_ca_topic_score_gemma":0.01181719,"domain_scores_codex":[0.9996413,0.00007364609,0.00002307088,0.00007559863,0.0001186503,0.00006765671],"domain_scores_gemma":[0.999491,0.0002718341,0.00006668491,0.00003801411,0.00009496203,0.0000375294],"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":[0.000101196,0.00003209446,0.0003915618,0.0000661793,0.00001402741,0.00005298046,0.0001027187,0.9326391,0.00194587,0.008081299,0.0007792345,0.05579378],"study_design_scores_gemma":[0.00001053956,0.00002793945,0.00005987336,0.000006608509,0.00000268864,0.00001171963,0.00001935057,0.995885,0.0007848248,0.002450929,0.0007361638,0.000004488776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02182039,0.0001864171,0.9736547,0.0000624063,0.00003095231,0.0001222339,0.000114502,0.0006472483,0.003361042],"genre_scores_gemma":[0.4258339,0.0002207637,0.5685796,0.00005010762,0.00001446357,0.0002616412,0.000535813,0.0001680536,0.004335659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0113705,"threshold_uncertainty_score":0.02260864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141464778008289,"score_gpt":0.1985110662402597,"score_spread":0.1870964184601769,"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."}}