{"id":"W4210632601","doi":"10.1115/imece2021-73914","title":"Optimum Selection of Thin-Walled Laminated Composite Structures in Robot Design","year":2021,"lang":"en","type":"article","venue":"","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Structural engineering; Bending; Composite number; Stiffness; Cross section (physics); Bending stiffness; Chart; Beam (structure); Materials science; Computer science; Engineering; Composite material; 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":[0.00005688795,0.0001056265,0.0002045681,0.00013495,0.00002218369,0.0000245412,0.00005940436,0.00006837863,0.0004208033],"category_scores_gemma":[0.000007930061,0.0001000683,0.0000494003,0.0005813055,0.0000079472,0.00007577238,0.00001535963,0.0000965595,0.000001329867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004679788,"about_ca_system_score_gemma":0.00001429714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002706315,"about_ca_topic_score_gemma":0.0001234989,"domain_scores_codex":[0.9993728,0.00004875305,0.0002371247,0.0001253579,0.0001016447,0.0001143389],"domain_scores_gemma":[0.9997131,0.00003420152,0.00002832501,0.0001056972,0.00009499372,0.0000236385],"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":[0.000007609855,0.000008316297,0.0006523219,0.00001553431,0.00004584949,0.000003119696,0.00009678903,0.853142,0.1448482,0.0002272096,0.00007904459,0.0008739669],"study_design_scores_gemma":[0.0002329846,0.00001164374,0.01280789,0.000009182981,0.00002374982,0.00000596031,0.00002081193,0.7585414,0.2280062,0.0002244095,0.00002203159,0.00009374355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2420624,0.0003373533,0.7527898,0.0000382925,0.0001329399,0.0001281562,0.000001603719,0.0001668406,0.004342584],"genre_scores_gemma":[0.9280926,0.00004857308,0.07166806,0.00001517112,0.00001583127,0.000001796492,0.00003089617,0.00001334957,0.0001137084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6860301,"threshold_uncertainty_score":0.46075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007135086651249916,"score_gpt":0.2053389473634838,"score_spread":0.1982038607122338,"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."}}