{"id":"W2592507205","doi":"10.1080/16864360.2016.1257193","title":"Regular patterns of repeated elements in CAD assembly model retrieval","year":2017,"lang":"en","type":"article","venue":"Computer-Aided Design and Applications","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science and Technology Major Project; Wuhan Institute of Technology; Nanjing University of Aeronautics and Astronautics; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Machining; Kinematics; Machine tool; Numerical control; Metric (unit); Computer science; Bottleneck; Displacement (psychology); Algorithm; Mechanical engineering; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001224418,0.00009236117,0.0001294058,0.0000640838,0.0001008184,0.00005960758,0.0001853529,0.00005469297,0.000002511685],"category_scores_gemma":[0.000006077438,0.00009783096,0.00001729451,0.0000428084,0.00001625642,0.0001101983,0.00004437471,0.00006539589,0.000001294644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001630434,"about_ca_system_score_gemma":0.000009941796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001016329,"about_ca_topic_score_gemma":0.000002082318,"domain_scores_codex":[0.9994155,0.00001000601,0.000227269,0.0001605568,0.00007406405,0.0001126417],"domain_scores_gemma":[0.999456,0.00002447243,0.00008103813,0.0003620845,0.00003521027,0.00004119],"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":[0.000009311502,0.00004120933,0.0009654473,0.0001432319,0.00001831245,0.000001025939,0.0000942249,0.9725302,0.001976039,0.001309661,0.000161002,0.02275036],"study_design_scores_gemma":[0.0003012404,0.00001311996,0.00489482,0.00004006321,0.000007819643,7.926943e-7,0.000002396131,0.9826072,0.01086643,0.0009862843,0.0001779566,0.0001018294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06572579,0.00004753601,0.9336621,0.00003047744,0.00002056099,0.000301612,0.000007231008,0.00006486812,0.0001398205],"genre_scores_gemma":[0.946243,0.0001420532,0.05344114,0.00001546633,0.00003107684,0.00004388786,0.00001617943,0.00001506688,0.00005214749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8805172,"threshold_uncertainty_score":0.3989431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02368938353148892,"score_gpt":0.2455827257375685,"score_spread":0.2218933422060796,"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."}}