{"id":"W2955013354","doi":"10.29173/mocs121","title":"Disproportionate Collapse Mitigation in Tall Mass Timber Buildings","year":2019,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Progressive collapse; Structural integrity; Robustness (evolution); Forensic engineering; Engineering; SAFER; Architectural engineering; Civil engineering; Risk analysis (engineering); Reinforced concrete; Computer science; Business; Structural engineering; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004566495,0.0005243991,0.0003593949,0.0009636236,0.0007090363,0.0006272024,0.0007612213,0.0004344543,0.002961865],"category_scores_gemma":[0.0009046631,0.0002018529,0.0002990841,0.0003609032,0.0004269956,0.0007123455,0.001387595,0.000327095,0.000647096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004180167,"about_ca_system_score_gemma":0.0005452873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004008507,"about_ca_topic_score_gemma":0.01739255,"domain_scores_codex":[0.9995819,0.00005740361,0.00001216548,0.0000494089,0.0001987128,0.0001003722],"domain_scores_gemma":[0.9995264,0.00007651087,0.0001037917,0.0000611521,0.0001424757,0.00008964447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006754671,0.0006010709,0.09141075,0.0009359918,0.0001536793,0.002392016,0.002673459,0.169567,0.3023768,0.009584186,0.006512639,0.4131169],"study_design_scores_gemma":[0.00004793304,0.004172481,0.3565854,0.0006119668,0.0003851431,0.002795403,0.009014018,0.4551881,0.1085183,0.01323449,0.04926766,0.0001791476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9178882,0.0009375807,0.06091013,0.0001938301,0.00005719257,0.0001411117,0.0001275441,0.0004251146,0.01931924],"genre_scores_gemma":[0.9875084,0.0002527006,0.00899238,0.00003596667,0.0000101091,0.00002424044,0.0001077039,0.00003047231,0.003037957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004008507,"threshold_uncertainty_score":0.009908438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00546243556384635,"score_gpt":0.1937884916255907,"score_spread":0.1883260560617444,"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."}}