{"id":"W2605048668","doi":"10.1061/9780784480427.034","title":"Capacity-Based Design for Cross-Laminated Timber Buildings","year":2017,"lang":"en","type":"article","venue":"Structures Congress 2017","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; FPInnovations; University of Northern British Columbia; University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia","funders":"","keywords":"Cross laminated timber; Computer science; Architectural engineering; Structural engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000387735,0.0007308282,0.0003354865,0.0007748536,0.0002994016,0.0006868751,0.001018594,0.0005814154,0.005621428],"category_scores_gemma":[0.0006931455,0.0003804058,0.0004011554,0.0002941534,0.0004386361,0.0005565035,0.0008808614,0.0002859587,0.0009835797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005200783,"about_ca_system_score_gemma":0.000539655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00141729,"about_ca_topic_score_gemma":0.002978609,"domain_scores_codex":[0.9997286,0.00006596367,0.00001342538,0.0000371252,0.0001170122,0.00003782261],"domain_scores_gemma":[0.9997774,0.00004736957,0.00004388077,0.00002263077,0.00008784801,0.00002089819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005761369,0.00003929107,0.000790715,0.0001238046,0.00001697007,0.0001900243,0.0001087756,0.9228884,0.02892174,0.01407998,0.0006008273,0.03218175],"study_design_scores_gemma":[0.00001298337,0.0001930603,0.0007954108,0.00003901117,0.00002104641,0.0001385162,0.00008643392,0.9749842,0.01122315,0.005775581,0.006704499,0.00002605948],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09188676,0.0001806639,0.8691828,0.0000756771,0.00004035676,0.0001335363,0.0001177383,0.0006684212,0.0377141],"genre_scores_gemma":[0.9198616,0.0001313638,0.07299218,0.00002611424,0.00001296225,0.0001578708,0.0001000721,0.00009466113,0.006623256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005621428,"threshold_uncertainty_score":0.01880556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05534901092029721,"score_gpt":0.287782802410194,"score_spread":0.2324337914898968,"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."}}