{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038752,0.0002435452,0.0003004422,0.0002299155,0.00009768084,0.00003806842,0.0002190432,0.0001618652,0.0001048856],"category_scores_gemma":[0.00007870833,0.00025936,0.00008397388,0.0001706162,0.00005327588,0.0006650648,0.00006073736,0.0001176727,0.000009388329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001360759,"about_ca_system_score_gemma":0.00002463416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003874218,"about_ca_topic_score_gemma":0.00000119328,"domain_scores_codex":[0.998576,0.00005466222,0.0005451932,0.0002442916,0.0002512184,0.0003286341],"domain_scores_gemma":[0.9993225,0.00004676484,0.0001726191,0.0002868388,0.0001087616,0.00006246702],"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":[0.00002389323,0.00001418201,0.0001696441,0.0001056964,0.000009796564,7.445187e-7,0.0003332101,0.5077029,0.48895,0.0001055901,0.00000195319,0.002582431],"study_design_scores_gemma":[0.0002244514,0.00001933276,0.0002704611,0.0001015536,0.00002102867,0.000001586402,0.000006811767,0.6219986,0.3766371,0.0005236369,0.00001594577,0.00017948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6620114,0.00002939107,0.336861,0.000001552919,0.0001626741,0.0003062634,0.00001364747,0.0002499725,0.0003640858],"genre_scores_gemma":[0.858115,0.000001739351,0.1416598,0.000009034232,0.00008903303,0.00001770007,0.000003963447,0.00008635821,0.00001742489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1961035,"threshold_uncertainty_score":0.9999859,"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."}}