{"id":"W3107450703","doi":"10.1139/tcsme-2020-0134","title":"Structural optimization of the heavy haul wagon body based on MPSO-BP algorithm","year":2020,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; China Railway","keywords":"Structural engineering; Welding; Finite element method; Stress (linguistics); Engineering; Limit (mathematics); Key (lock); Position (finance); Algorithm; Computer science; Mechanical engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002987954,0.0006125946,0.0006320752,0.0003434964,0.000288291,0.0003598078,0.0006338768,0.0006424598,0.002415591],"category_scores_gemma":[0.0006087204,0.0003680378,0.0004494401,0.0002645767,0.000380305,0.0003336476,0.0004964893,0.0004711786,0.0002971542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002974104,"about_ca_system_score_gemma":0.0006478908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003551082,"about_ca_topic_score_gemma":0.00319654,"domain_scores_codex":[0.999854,0.00003239141,0.000004605336,0.00003102907,0.00005182871,0.00002606817],"domain_scores_gemma":[0.9998034,0.00008822802,0.00002627696,0.00001441164,0.00005445434,0.00001331024],"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":[0.00005079353,0.00002412611,0.0003695422,0.0000469991,0.000017162,0.00004067026,0.00003489068,0.9612849,0.006690914,0.001555232,0.0003697005,0.02951503],"study_design_scores_gemma":[0.000005251467,0.00002095285,0.00009090722,0.000001900246,0.000003674295,0.000005201485,0.000005474225,0.9988635,0.0005357596,0.0002782732,0.0001876099,0.000001569485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06217116,0.0001235823,0.9322136,0.00008929036,0.00002513204,0.00005242406,0.00003162542,0.0003979141,0.004895255],"genre_scores_gemma":[0.756879,0.0001218866,0.2373909,0.00006630588,0.00001825667,0.0002142287,0.0001273087,0.000115187,0.005066966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003551082,"threshold_uncertainty_score":0.008080959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441634739578826,"score_gpt":0.2102458776531752,"score_spread":0.195829530257387,"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."}}