{"id":"W2888200574","doi":"10.22382/wfs-2018-037","title":"SEISMIC DESIGN OF CROSS-LAMINATED TIMBER BUILDINGS","year":2018,"lang":"en","type":"article","venue":"Wood and Fiber Science","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cross laminated timber; Structural engineering; Engineered wood; Engineering; Seismic analysis; Forensic engineering; Civil engineering; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002181187,0.0003817098,0.0001973906,0.0004212561,0.0002488799,0.0008235108,0.0003743327,0.0004014937,0.004945915],"category_scores_gemma":[0.0002898943,0.0002717646,0.0002181709,0.0002381699,0.0003906441,0.0002810602,0.0006327475,0.00021051,0.000870598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003863217,"about_ca_system_score_gemma":0.0003460688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009159846,"about_ca_topic_score_gemma":0.002270684,"domain_scores_codex":[0.999801,0.0000632443,0.000008664177,0.00002277036,0.00007457133,0.00002976171],"domain_scores_gemma":[0.9998858,0.00002972861,0.00002065718,0.000008328864,0.00003879146,0.00001681602],"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":[0.000239817,0.0001021911,0.006151449,0.0002615068,0.00003568214,0.0005071539,0.0004612932,0.8399124,0.05176514,0.03517071,0.001761842,0.06363082],"study_design_scores_gemma":[0.0000313908,0.0004167012,0.003516596,0.00004914674,0.00002335676,0.0003001346,0.000574071,0.9641472,0.00999125,0.006478943,0.01444531,0.00002592058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4172612,0.0005812883,0.45206,0.0002121179,0.000087404,0.0001368296,0.0002486946,0.0004339335,0.1289785],"genre_scores_gemma":[0.950711,0.0002611628,0.03951839,0.00003337596,0.00001484638,0.00006177426,0.00011574,0.00007517923,0.009208526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004945915,"threshold_uncertainty_score":0.01654571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01670299861458303,"score_gpt":0.2363916217870436,"score_spread":0.2196886231724605,"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."}}