{"id":"W2054647847","doi":"10.1007/s12273-011-0031-x","title":"Determination of indoor humidity profile using a whole-building hygrothermal model","year":2011,"lang":"en","type":"article","venue":"Building Simulation","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; National Research Council Canada; British Columbia Institute of Technology","funders":"","keywords":"Building envelope; Multiphysics; Enclosure; Retrofitting; Durability; Environmental science; Humidity; Envelope (radar); Architectural engineering; Computer science; Civil engineering; Engineering; Structural engineering; Finite element method; Meteorology; Thermal; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001199586,0.0004703848,0.0005499232,0.0002633729,0.0002982529,0.0003653846,0.0005747405,0.000702504,0.001534256],"category_scores_gemma":[0.0003010491,0.0003269952,0.0005378687,0.0003183727,0.0002533152,0.0003508006,0.0002745154,0.0003219966,0.0003042581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003733877,"about_ca_system_score_gemma":0.0004710028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01557152,"about_ca_topic_score_gemma":0.0080462,"domain_scores_codex":[0.9999095,0.00001916301,0.000004266802,0.00002311548,0.00002654081,0.00001737186],"domain_scores_gemma":[0.99989,0.00004188579,0.000008953177,0.00002078668,0.0000260762,0.00001231845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003886024,0.00003314586,0.001555324,0.00002552513,0.00001154503,0.00004252017,0.00002916891,0.9839733,0.01082695,0.0003169429,0.00008618151,0.003060457],"study_design_scores_gemma":[0.000006065689,0.00001549288,0.0007975054,0.000001231584,0.000004329429,0.000007659345,0.000006655417,0.9966267,0.002379856,0.00004391361,0.0001057501,0.000004897261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8343769,0.0001075248,0.1516676,0.00007511457,0.00003132083,0.00008925113,0.0007446392,0.0009761343,0.01193147],"genre_scores_gemma":[0.9899982,0.00005503137,0.008697061,0.000006202292,0.000002934036,0.00003689934,0.0002014005,0.00003484805,0.000967436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01557152,"threshold_uncertainty_score":0.03096175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0675983064512823,"score_gpt":0.2774855086825008,"score_spread":0.2098872022312185,"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."}}