{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005142552,0.0005168863,0.0004713318,0.000512973,0.0003108039,0.0004287638,0.0005581609,0.0004035523,0.002317728],"category_scores_gemma":[0.0006620955,0.00031597,0.0006402297,0.0003349127,0.000246495,0.0004031405,0.0003493045,0.0004009115,0.0003436187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003878057,"about_ca_system_score_gemma":0.0007847575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002097492,"about_ca_topic_score_gemma":0.001908207,"domain_scores_codex":[0.9994985,0.00007830382,0.00002118679,0.00007086193,0.000296117,0.00003503827],"domain_scores_gemma":[0.9997397,0.00006861012,0.00004285964,0.00003904819,0.0001003182,0.000009387372],"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":[0.00009289151,0.00006605836,0.002359168,0.000275229,0.00003774219,0.0001114587,0.0001446621,0.7375102,0.1017613,0.01020446,0.001054554,0.1463823],"study_design_scores_gemma":[0.00002191722,0.0001990593,0.001222805,0.00001463897,0.00001928362,0.00008243932,0.00002726479,0.9776404,0.01452952,0.001400786,0.004824995,0.00001689163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04491736,0.0001533414,0.9488608,0.00005396565,0.00002005257,0.00006541262,0.00002924945,0.0003337012,0.0055661],"genre_scores_gemma":[0.7302207,0.0002394121,0.2653841,0.00003792669,0.00002051429,0.0002109526,0.0001550549,0.0001254502,0.003605773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002317728,"threshold_uncertainty_score":0.007753551,"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."}}