{"id":"W2953406379","doi":"10.29173/mocs128","title":"Numerical and Experimental Study on Modular-Based Timber Structures","year":2019,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prefabrication; Stiffness; Modular design; Structural engineering; Cross laminated timber; Finite element method; Engineering; Shear (geology); Shear wall; Frame (networking); Computer science; Mechanical engineering; Geology","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":[0.0005292252,0.0004322151,0.0004749639,0.0006163618,0.0003064881,0.0002906401,0.0005698006,0.0007854896,0.002582957],"category_scores_gemma":[0.0008929562,0.000168061,0.0003330466,0.0005275345,0.0007383424,0.0003310093,0.0004081271,0.0003239679,0.0002679124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002045481,"about_ca_system_score_gemma":0.0002078637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001016746,"about_ca_topic_score_gemma":0.001724214,"domain_scores_codex":[0.999728,0.00003369774,0.00001825187,0.00004475897,0.0001273873,0.00004791772],"domain_scores_gemma":[0.9990784,0.0004039092,0.000123124,0.000153995,0.0001639582,0.00007658065],"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":[0.0005041349,0.0009189227,0.0136802,0.0004558216,0.00004587074,0.0007353393,0.0006894325,0.609277,0.3444601,0.002208773,0.0006023115,0.02642214],"study_design_scores_gemma":[0.00006401413,0.002342311,0.02165798,0.00003962778,0.00005186208,0.0003193797,0.0005434179,0.86975,0.1030006,0.0007420091,0.001440073,0.00004884809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876727,0.00008234405,0.009254389,0.000023041,0.00001760813,0.00003020159,0.0001837843,0.0001090124,0.002626929],"genre_scores_gemma":[0.9926983,0.00004488288,0.006387194,0.000003772443,0.000002534216,0.0000193462,0.0001046942,0.000009393546,0.0007300626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002582957,"threshold_uncertainty_score":0.008640885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007846410184613977,"score_gpt":0.2105612005679601,"score_spread":0.2027147903833461,"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."}}