{"id":"W4386156089","doi":"10.32920/24033783.v1","title":"An Investigation into the Resilience and Durability of High R-Value Exterior Insulated Wood Framed Walls in Cold Climates Assessed Using In-Situ Measurement and Calibrated Hygrothermal Modeling","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Sciencetech (Canada); George Brown College","funders":"","keywords":"Cold climate; Resilience (materials science); Environmental science; Moisture; In situ; Materials science; Permeability (electromagnetism); Durability; Membrane; Composite material; Structural engineering; Engineering; Geology; Meteorology","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":[0.0004076128,0.0003889845,0.0002607984,0.0002962603,0.0005010475,0.0004888752,0.0004635064,0.0002534409,0.0006233521],"category_scores_gemma":[0.0003993039,0.0001611074,0.00021391,0.0002558971,0.0003613021,0.0003285373,0.0002103669,0.0002535245,0.0001872398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065111,"about_ca_system_score_gemma":0.000521681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0443381,"about_ca_topic_score_gemma":0.110704,"domain_scores_codex":[0.9998079,0.00001318643,0.000006228563,0.00004016459,0.00008671126,0.00004578065],"domain_scores_gemma":[0.9997616,0.00003720891,0.0000426405,0.00003420218,0.00009702485,0.00002724483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002500627,0.00007199092,0.0280262,0.00007666362,0.00002035423,0.000253803,0.0004064643,0.01133237,0.9479253,0.0001555848,0.0001145261,0.01136665],"study_design_scores_gemma":[0.00000877004,0.0006942512,0.2101509,0.00001942585,0.00006319309,0.000243256,0.0007279583,0.02220423,0.7639354,0.00005837169,0.00186419,0.00003012016],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981645,0.00003038489,0.001181027,0.000003971209,0.000001953304,0.000006371686,0.00008519402,0.00002444726,0.0005022887],"genre_scores_gemma":[0.9981771,0.00004432455,0.001084138,0.000003228725,5.703392e-7,0.000003316172,0.00009172277,0.000009154523,0.0005865668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0443381,"threshold_uncertainty_score":0.08816004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04878894508185003,"score_gpt":0.2592913360038258,"score_spread":0.2105023909219758,"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."}}