{"id":"W2171644141","doi":"10.1109/robot.2007.363853","title":"Interactive Cross Cutting","year":2007,"lang":"en","type":"article","venue":"Proceedings - IEEE International Conference on Robotics and Automation/Proceedings","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Groove (engineering); Computer science; Surface (topology); Path (computing); Subdivision; Cutting tool; Laser cutting; Engineering drawing; Simulation; Mechanical engineering; Geometry; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004683044,0.0003363746,0.0002782844,0.0004573649,0.0002125655,0.0008913928,0.0003383498,0.0001545451,0.00009616268],"category_scores_gemma":[0.0001009982,0.000342225,0.00009870942,0.0002924702,0.00008080882,0.0008717375,0.00005631679,0.0004122354,0.00005646052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001595518,"about_ca_system_score_gemma":0.00001567489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000678399,"about_ca_topic_score_gemma":0.00000146304,"domain_scores_codex":[0.9980592,9.510385e-7,0.0005790547,0.0004327133,0.0005170471,0.0004110291],"domain_scores_gemma":[0.9984387,0.00004387799,0.0001970841,0.00004596495,0.00110161,0.0001727866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003114639,0.0005281633,0.04937569,0.001083393,0.001690388,0.0000261887,0.01558535,0.09691642,0.08833435,0.6718546,0.01390736,0.06038667],"study_design_scores_gemma":[0.0003869773,0.00005605468,0.002788245,0.0002973707,0.00004004238,0.00002755934,0.001298916,0.9814578,0.008493251,0.004353509,0.0003423858,0.00045785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8427049,0.00002207336,0.01228174,0.0007141209,0.0009337155,0.0001570186,0.00001224755,0.0007062383,0.1424679],"genre_scores_gemma":[0.9939334,0.00008429175,0.004337779,0.0001831095,0.0008184491,0.00001493107,0.00001111854,0.00004839995,0.0005685583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8845414,"threshold_uncertainty_score":0.999903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03067811044997591,"score_gpt":0.2996068597882974,"score_spread":0.2689287493383215,"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."}}