{"id":"W4362469755","doi":"10.3390/f14040718","title":"Evaluation of Moisture Performance of Tall Wood Building Envelope under Climate Change in Different Canadian Climatic Regions","year":2023,"lang":"en","type":"article","venue":"Forests","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Building envelope; Environmental science; Cladding (metalworking); Mold; Climate change; Moisture; Meteorology; Hydrology (agriculture); Geography; Ecology; Geotechnical engineering; Geology; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006479403,0.0001263726,0.0002227053,0.00030155,0.00002898502,0.00001035248,0.0001510641,0.000076025,0.00004948931],"category_scores_gemma":[0.00004505559,0.0001122342,0.00003188134,0.0002391626,0.00002556446,0.0001262699,0.00003851235,0.00007034656,0.0000198108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002096452,"about_ca_system_score_gemma":0.00003478367,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003428056,"about_ca_topic_score_gemma":0.06629799,"domain_scores_codex":[0.9989197,0.00004900533,0.000302177,0.0001073089,0.0002939386,0.0003278324],"domain_scores_gemma":[0.999603,0.000021464,0.00005446274,0.0002003518,0.00005993668,0.00006083641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00003185081,0.0000515427,0.1373874,0.003023583,0.0001288002,0.000006564487,0.004605517,0.7470163,0.09592639,0.001401221,0.0002633211,0.01015747],"study_design_scores_gemma":[0.0003295129,0.00003790433,0.7837735,0.0006751582,0.00003070733,9.431751e-7,0.00003585036,0.2021625,0.01250343,0.0002917158,0.00001742758,0.0001413032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987065,0.0001220828,0.000007191296,0.00007572777,0.0002167719,0.0004215418,0.00002460528,0.00007054894,0.0003550199],"genre_scores_gemma":[0.9995878,0.0001210624,0.00008077975,0.00001050226,0.00003753999,0.0001045865,0.00001603115,0.00003692025,0.000004718505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6463861,"threshold_uncertainty_score":0.9507396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0542555759998019,"score_gpt":0.2697377193500219,"score_spread":0.21548214335022,"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."}}