{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005181091,0.0007937503,0.0005571837,0.0005676296,0.0004502782,0.001226431,0.001656675,0.001230715,0.01249358],"category_scores_gemma":[0.001175905,0.0005549428,0.001225963,0.000317284,0.0007104977,0.001206457,0.002514734,0.0008899333,0.001316227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000439695,"about_ca_system_score_gemma":0.0005309286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001169563,"about_ca_topic_score_gemma":0.001038128,"domain_scores_codex":[0.9994397,0.00006856651,0.00002545958,0.0001192171,0.0002846112,0.00006238392],"domain_scores_gemma":[0.9994085,0.0002823595,0.00003705348,0.0001546525,0.0000757147,0.00004166726],"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":[0.0003765911,0.0001380232,0.001764476,0.0004467283,0.0001002768,0.000862491,0.0008195336,0.6691261,0.06468456,0.07468855,0.005067662,0.1819251],"study_design_scores_gemma":[0.00005811432,0.0001918756,0.0004144754,0.00005931209,0.00003140868,0.0009685776,0.00009763338,0.9159153,0.02260258,0.01408902,0.04551359,0.0000580292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02331855,0.0002337886,0.9614763,0.00008288569,0.000113016,0.00009589962,0.0001134197,0.00200192,0.01256406],"genre_scores_gemma":[0.4112558,0.000420521,0.5720644,0.0001653198,0.00003494932,0.0002293389,0.0005097528,0.001009734,0.01431021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01249358,"threshold_uncertainty_score":0.04179519,"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."}}