{"id":"W2921016714","doi":"10.1177/1063293x19832940","title":"Study on lightweight structural optimization design system for gantry machine tool","year":2019,"lang":"en","type":"article","venue":"Concurrent Engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Gantry crane; Frame (networking); Machine tool; Parametric statistics; Engineering; Computer science; Structural engineering; Mechanical 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":[0.00009107936,0.0002476441,0.0002333985,0.0001091098,0.00005075242,0.00005299846,0.0001311714,0.00005825531,0.00001341347],"category_scores_gemma":[0.00002742654,0.0002358606,0.00004606371,0.000151697,0.000003128399,0.0001873838,0.00001731933,0.0001356979,0.00001170557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001210253,"about_ca_system_score_gemma":0.000007713295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.46841e-7,"about_ca_topic_score_gemma":7.696833e-8,"domain_scores_codex":[0.9991058,0.000009024828,0.0002594005,0.0002393817,0.0001340217,0.0002523709],"domain_scores_gemma":[0.9995807,0.00009346462,0.00004041659,0.0001887644,0.00004713982,0.00004945741],"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":[0.00001139813,0.00001052129,0.0001619746,0.0003320138,0.00003534359,0.00000130497,0.0001729154,0.9972807,0.0002015194,0.0004995455,0.00001679039,0.001276043],"study_design_scores_gemma":[0.0009351731,0.0001656601,0.0001067782,0.0001371287,0.00002724781,0.000003765123,0.00007751882,0.9962723,0.001784919,0.000001880882,0.000194789,0.0002928301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03070763,0.0004443831,0.9647313,0.00000291245,0.002137372,0.001068877,0.00001612025,0.0008095572,0.00008181695],"genre_scores_gemma":[0.9810226,0.00001459771,0.01856824,0.000003759488,0.0001255008,0.0001056207,0.00005261418,0.00008146086,0.00002560219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.950315,"threshold_uncertainty_score":0.9618115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147294677354263,"score_gpt":0.2293170849741921,"score_spread":0.2178441382006494,"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."}}