{"id":"W4380449554","doi":"10.52202/069179-0589","title":"RECENT ADVANCEMENTS IN MASS TIMBER CONSTRUCTION TECHNOLOGIES IN CANADA","year":2023,"lang":"en","type":"article","venue":"","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Computer science; Construction engineering; Architectural 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":[0.002188613,0.0004515933,0.0003315333,0.003893361,0.004272148,0.003717794,0.0013096,0.0008151776,0.01808614],"category_scores_gemma":[0.003558476,0.0003106522,0.000358948,0.008000512,0.001744322,0.001134833,0.00135362,0.001363572,0.001452392],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06577093,"about_ca_system_score_gemma":0.1091428,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9722224,"about_ca_topic_score_gemma":0.9894336,"domain_scores_codex":[0.9968392,0.00009846092,0.00008271835,0.0002725135,0.002195758,0.0005113923],"domain_scores_gemma":[0.9885126,0.0005789738,0.0005004574,0.0001371746,0.008357734,0.001913134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004389744,0.0003295156,0.04286969,0.002621906,0.00007853415,0.0008159541,0.003049117,0.002820206,0.007901943,0.05267621,0.1637928,0.7226052],"study_design_scores_gemma":[0.00001695153,0.00008296353,0.08321898,0.0005939378,0.00004173913,0.0003354923,0.002867129,0.001009917,0.003089021,0.001274965,0.9074128,0.00005601769],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.2089464,0.1579529,0.007299884,0.07156789,0.002457076,0.000279043,0.006427333,0.0006154651,0.544454],"genre_scores_gemma":[0.6222912,0.1938887,0.01473604,0.00608566,0.0004333754,0.00008964273,0.003888446,0.0002306159,0.1583562],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9342291,"threshold_uncertainty_score":0.4772037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097755370847771,"score_gpt":0.1835517250486644,"score_spread":0.1725741713401867,"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."}}