{"id":"W1991738872","doi":"10.1115/imece2010-37775","title":"Tolerance-Based Layer Setup Optimization for Layered Manufacturing","year":2010,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Minification; Layer (electronics); Maximization; Rendering (computer graphics); Position (finance); Mathematical optimization; Algorithm; Materials science; Mathematics; Artificial intelligence","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":[0.0005419086,0.0008988895,0.0005686865,0.000643769,0.0003077357,0.0006244804,0.0009372007,0.0004568138,0.001728138],"category_scores_gemma":[0.001740666,0.0005102193,0.0006426395,0.0003951009,0.0003807342,0.0007885375,0.0008917374,0.000681225,0.0004128107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006986144,"about_ca_system_score_gemma":0.0007744185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001077354,"about_ca_topic_score_gemma":0.001623901,"domain_scores_codex":[0.9994214,0.00008200983,0.00003304607,0.00007039683,0.0003539068,0.00003930981],"domain_scores_gemma":[0.9993778,0.0002296797,0.0001524604,0.0001003628,0.0001179138,0.00002161244],"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":[0.00009098455,0.00005433024,0.0009116248,0.0002496958,0.00006128877,0.00009779405,0.0001485827,0.7342643,0.1201836,0.01103015,0.0008726357,0.132035],"study_design_scores_gemma":[0.00001264753,0.00007115523,0.0002794467,0.00001265031,0.00001665807,0.00007839521,0.00001397265,0.9612388,0.0338349,0.001934834,0.002482574,0.00002396704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009044839,0.00006000028,0.9895019,0.00001581436,0.00001090373,0.00001939005,0.0000157988,0.0003359006,0.0009954202],"genre_scores_gemma":[0.2240035,0.00009397786,0.7742281,0.00001953553,0.000009979426,0.00007622653,0.00008262831,0.0002093262,0.001276764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001728138,"threshold_uncertainty_score":0.005781233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016295287741125,"score_gpt":0.2123213182627334,"score_spread":0.2021583653853222,"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."}}