{"id":"W2009240401","doi":"10.1260/136943307783571391","title":"Design Optimization of Long-Span King-Post Trusses","year":2007,"lang":"en","type":"article","venue":"Advances in Structural Engineering","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Lakehead University","keywords":"Truss; Structural engineering; Span (engineering); Arch; Engineering; Roof; Optimal design; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001455231,0.0002361723,0.0002819717,0.0003775263,0.00002382234,0.00001849405,0.0001809806,0.00008561566,0.00005709827],"category_scores_gemma":[0.00006352359,0.000233678,0.00006302434,0.0006704837,0.00002944911,0.0005265668,0.00001746669,0.0001756468,0.00000108696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000955821,"about_ca_system_score_gemma":0.000006597109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001110962,"about_ca_topic_score_gemma":0.00001413539,"domain_scores_codex":[0.9988465,0.000007464059,0.0004495746,0.0001713854,0.0001947518,0.0003303003],"domain_scores_gemma":[0.9995186,0.0001302524,0.00004974487,0.0001773831,0.00005265266,0.00007131176],"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":[0.00000947572,0.000001130538,0.00033921,0.00009690046,0.00001947563,0.000006902903,0.00009799878,0.9764233,0.002995082,0.0002079497,6.094085e-7,0.01980194],"study_design_scores_gemma":[0.0002272376,0.00002127835,0.004203307,0.00005596142,0.00001233664,0.0000153431,0.00004696118,0.9623117,0.03276272,0.00002590229,0.00005766839,0.0002596072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05494113,0.002167277,0.9417556,0.000004502166,0.0005183652,0.0001031902,0.000003067804,0.0003125643,0.0001942957],"genre_scores_gemma":[0.9444703,0.0002721832,0.05512336,0.000005708382,0.00006232887,0.000002752627,0.000016447,0.00004074817,0.000006099791],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8895292,"threshold_uncertainty_score":0.9529111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005331903191229209,"score_gpt":0.2293099331977022,"score_spread":0.223978030006473,"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."}}