{"id":"W2068379399","doi":"10.1115/detc2014-35559","title":"Effect of Adaptive Slicing on Surface Integrity in Additive Manufacturing","year":2014,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Slicing; Computer science; CAD; Layer (electronics); Process (computing); Algorithm; Tessellation (computer graphics); Program slicing; Surface (topology); Engineering drawing; Engineering; Mathematics; Computer graphics (images); Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005238401,0.0004539365,0.0002559186,0.0004495725,0.000210651,0.0005442903,0.0005733952,0.00030542,0.0007790765],"category_scores_gemma":[0.002134301,0.0002270148,0.0003478295,0.0004650552,0.0005201384,0.0006836861,0.000442544,0.0002487504,0.00009323017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003606206,"about_ca_system_score_gemma":0.0003570641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002037376,"about_ca_topic_score_gemma":0.00176827,"domain_scores_codex":[0.9994372,0.0000747838,0.00003717255,0.0000796927,0.0003216774,0.00004948024],"domain_scores_gemma":[0.9979771,0.0008408149,0.0003333424,0.0004413206,0.0003527758,0.00005466376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007868449,0.00009441152,0.0106718,0.0002074912,0.0000716221,0.0003887902,0.0003306868,0.6018707,0.2391967,0.003551025,0.0002566015,0.1425733],"study_design_scores_gemma":[0.00001502562,0.0005593512,0.004689127,0.00002272738,0.0000888973,0.0003412771,0.00007633419,0.772332,0.2198777,0.0008320012,0.001124182,0.00004148781],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7695337,0.0009437279,0.2247695,0.00005920962,0.0000354885,0.00003121515,0.00006417031,0.0006860943,0.003876949],"genre_scores_gemma":[0.9769241,0.0001702965,0.02262785,0.000006068824,0.000002752928,0.000002768042,0.00002354699,0.00003751526,0.0002050768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002037376,"threshold_uncertainty_score":0.00405097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009214943855164486,"score_gpt":0.2229240978900614,"score_spread":0.2137091540348969,"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."}}