{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003441559,0.000236455,0.0002768302,0.0003166108,0.0001500027,0.0002071154,0.0001324683,0.0001568468,0.0008667217],"category_scores_gemma":[0.00005531239,0.000225779,0.00006409083,0.0004661869,0.0001865117,0.0008398101,0.00002242214,0.0002056511,0.0002152772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002674267,"about_ca_system_score_gemma":0.00003973551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003104775,"about_ca_topic_score_gemma":0.0002547381,"domain_scores_codex":[0.9983101,0.00001849602,0.0003813782,0.0005421541,0.0003589447,0.0003889199],"domain_scores_gemma":[0.9993794,0.00004888103,0.0001826498,0.0001062859,0.0001322192,0.0001505485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001248453,0.00001011917,0.9812264,0.00009248689,0.00001578354,0.000007040798,0.0001064346,0.0003574655,0.006233158,0.0007474404,0.0001005429,0.01097829],"study_design_scores_gemma":[0.001090056,0.0001239035,0.9695945,0.0001274662,0.00002882177,0.00009952681,0.0007662576,0.01311433,0.003395846,0.002026725,0.009171383,0.0004611896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937783,0.0002443529,0.00006295981,0.0002948188,0.0003925668,0.0003876321,0.00004440787,0.0001046616,0.004690236],"genre_scores_gemma":[0.9941548,0.0001386589,0.004693336,0.00009131625,0.00007178024,0.000004721365,0.00007509204,0.00001165841,0.0007586773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01275686,"threshold_uncertainty_score":0.9489995,"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."}}