{"id":"W2330536347","doi":"10.1115/detc2007-34970","title":"Reverse Engineering of Geometric Surfaces Using Tabu Search Optimization Technique","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Tabu search; Sequential quadratic programming; MATLAB; Algorithm; Mathematical optimization; Computer science; Data point; Quadratic programming; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003615549,0.000122872,0.0002033793,0.0006567263,0.00001898994,0.000007053407,0.0001176356,0.00008455451,0.00008595623],"category_scores_gemma":[0.00005537571,0.0001223708,0.00005672784,0.002104082,0.00002022822,0.0001753719,0.00003482471,0.0001345464,0.000001817364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001095922,"about_ca_system_score_gemma":0.000005194405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004521463,"about_ca_topic_score_gemma":0.000001172706,"domain_scores_codex":[0.9991415,0.000006407413,0.0002994821,0.0001241144,0.0001879472,0.0002405427],"domain_scores_gemma":[0.9995737,0.00007789919,0.00002928384,0.0001767141,0.00008242474,0.00005995368],"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":[0.000001580596,0.000008530023,0.0002587507,0.00003955273,0.00001487092,0.00000188814,0.000007510698,0.8631242,0.1352968,0.00004122609,0.00001381461,0.001191304],"study_design_scores_gemma":[0.00002960635,0.00001041439,0.00008768134,0.00001564908,0.00000840581,0.000002628663,0.00001383491,0.531133,0.4684868,0.000007942179,0.0001023889,0.0001016045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04331899,0.0001153105,0.9550415,0.000002708186,0.00002194259,0.0001492061,0.000001400539,0.0006309128,0.0007180011],"genre_scores_gemma":[0.5046002,0.00005096086,0.4952938,0.000002831242,0.0000101835,0.00000231677,0.000002060191,0.00002096588,0.0000167022],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4612812,"threshold_uncertainty_score":0.4990138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253975811245579,"score_gpt":0.2567328194688113,"score_spread":0.2441930613563555,"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."}}