{"id":"W4239245207","doi":"10.1002/(sici)1528-2716(200001/03)2:1<41::aid-pse6>3.0.co;2-t","title":"Tubular construction","year":2000,"lang":"en","type":"article","venue":"Progress in Structural Engineering and Materials","topic":"Structural Engineering and Materials Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Scope (computer science); Directory; Engineering; Resource (disambiguation); Production (economics); Architectural engineering; Construction engineering; Forensic engineering; Mechanical engineering; Computer science; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003198384,0.0005521196,0.000513649,0.00093108,0.0007459238,0.0009437847,0.0007349573,0.0006576107,0.02765861],"category_scores_gemma":[0.0005026615,0.0002109446,0.0005926106,0.001081422,0.0007335379,0.0008053811,0.0009517052,0.0006439703,0.01296433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005354296,"about_ca_system_score_gemma":0.0007469591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005553724,"about_ca_topic_score_gemma":0.0009903772,"domain_scores_codex":[0.9994712,0.00005217141,0.00002916982,0.00008042181,0.000310084,0.00005681789],"domain_scores_gemma":[0.999823,0.00002129363,0.00003770125,0.00002635005,0.00006648693,0.00002512173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001320094,0.00006113851,0.001646465,0.002433922,0.00004194861,0.002336284,0.0003333981,0.005970786,0.0398774,0.1465651,0.06069632,0.7399053],"study_design_scores_gemma":[0.000006324821,0.0002417257,0.001686122,0.0002378833,0.00002657015,0.004205137,0.0001173784,0.0007121649,0.01044741,0.006038751,0.97626,0.00002044109],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04655156,0.07985336,0.1840231,0.001394697,0.003198731,0.0002286581,0.001271791,0.001805141,0.6816729],"genre_scores_gemma":[0.3481032,0.08517604,0.09399925,0.0008971537,0.0006916095,0.0003248586,0.003440848,0.0008112118,0.4665559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02765861,"threshold_uncertainty_score":0.09252727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002903279819189756,"score_gpt":0.1908321518379691,"score_spread":0.1879288720187793,"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."}}