{"id":"W4396626665","doi":"10.1139/cjce-2023-0199","title":"Monte Carlo simulation study on the reliability of concrete-filled HSS beam-column design provisions","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monte Carlo method; Reliability (semiconductor); Column (typography); Structural engineering; Beam (structure); Engineering; Reliability engineering; Mathematics; Statistics; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0006503318,0.000187721,0.0003220244,0.0004331706,0.00006595842,0.00009128094,0.0002636186,0.00006945454,0.00007667707],"category_scores_gemma":[0.0006369709,0.0001461315,0.0001743304,0.0005237018,0.00002702719,0.0001499852,0.00000897257,0.0004744825,0.000003578359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003369055,"about_ca_system_score_gemma":0.0002007009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001066437,"about_ca_topic_score_gemma":0.003710888,"domain_scores_codex":[0.9987815,0.00004884571,0.0005056637,0.0001339863,0.0002617471,0.000268272],"domain_scores_gemma":[0.9986096,0.0006246803,0.00005918616,0.0002898798,0.000153069,0.0002635705],"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":[0.000004147772,0.000001403101,0.0003689237,0.00004466128,0.0001806459,0.00004600846,0.0009213316,0.9958712,0.002180571,0.00001863472,0.000243288,0.0001191388],"study_design_scores_gemma":[0.0001724355,0.0001531493,0.005789326,0.0002546375,0.0001487526,0.00001335621,0.0002842583,0.9906948,0.001821913,0.00002182043,0.0004708954,0.0001747201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925327,0.0008186107,0.005289561,0.00008579927,0.0007074381,0.0003163261,0.00001275537,0.00007487032,0.0001618874],"genre_scores_gemma":[0.9996433,0.000004951773,0.0001498593,0.000005901492,0.0001185609,0.000006292696,3.168821e-7,0.00004568507,0.00002519449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007110485,"threshold_uncertainty_score":0.5959069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507430576122184,"score_gpt":0.2150235289862409,"score_spread":0.1999492232250191,"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."}}