{"id":"W3136312740","doi":"10.3390/buildings11030117","title":"Assessing the Moisture Load in a Vinyl-Clad Wall Assembly through Watertightness Tests","year":2021,"lang":"en","type":"article","venue":"Buildings","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; National Research Council Canada","funders":"Infrastructure Canada","keywords":"Moisture; Environmental science; Wind speed; ASHRAE 90.1; Intensity (physics); Water content; Structural engineering; Climate zones; Geotechnical engineering; Engineering; Meteorology; Materials science; Composite material; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002286959,0.000166708,0.0001747645,0.000009473312,0.0002637423,0.0001751222,0.0002695561,0.00006899516,0.0002481288],"category_scores_gemma":[0.00009278997,0.0001057698,0.00006546338,0.0003570818,0.0001356274,0.0004898773,0.0003907355,0.0002090952,0.0001461134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001970952,"about_ca_system_score_gemma":0.00002626231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008789662,"about_ca_topic_score_gemma":0.0006994027,"domain_scores_codex":[0.9986377,0.000057206,0.000191684,0.000380723,0.0003608325,0.000371901],"domain_scores_gemma":[0.9995599,0.0000852164,0.00005123002,0.0002505572,0.00001565518,0.00003741235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000102304,0.0003593834,0.554884,0.00004390054,0.00004277414,0.0004065976,0.01053676,0.0009474082,0.3916766,0.0005875356,0.02610578,0.01439903],"study_design_scores_gemma":[0.0004430874,0.00001934818,0.7905064,0.0001276462,0.00002031634,0.00003499633,0.001079389,0.0002135366,0.03222154,0.002017143,0.172961,0.0003556451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741904,0.0003322116,0.0001438461,0.007437923,0.0001486625,0.0000916389,8.869919e-7,0.00004105757,0.01761343],"genre_scores_gemma":[0.9951671,0.00004463142,0.001457342,0.001618926,0.00007764582,0.0000173731,0.000001566987,0.00001490321,0.00160046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.359455,"threshold_uncertainty_score":0.4313166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01726652276580744,"score_gpt":0.274554761736794,"score_spread":0.2572882389709866,"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."}}