{"id":"W2023893017","doi":"10.3390/buildings4030375","title":"Evaluation of Parameters Influencing the Moisture Buffering Potential of Hygroscopic Materials with BSim Simulations","year":2014,"lang":"en","type":"article","venue":"Buildings","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Moisture; Humidity; Air permeability specific surface; Environmental science; Water content; Volume (thermodynamics); Permeability (electromagnetism); Materials science; Composite material; Meteorology; Geotechnical engineering; Engineering; Chemistry; Membrane; Thermodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.001065799,0.0001566978,0.0002723395,0.00007587446,0.00005852069,0.00004545166,0.0002234413,0.00006815965,0.00007468547],"category_scores_gemma":[0.0001963966,0.0001094242,0.00003481589,0.0001150095,0.00008550188,0.000164528,0.00003961495,0.00006414202,0.000003394959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006164924,"about_ca_system_score_gemma":0.00002167307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001800907,"about_ca_topic_score_gemma":0.000008574008,"domain_scores_codex":[0.9986689,0.0001236957,0.0003858191,0.0001381308,0.000496143,0.000187273],"domain_scores_gemma":[0.9992418,0.00008377714,0.0001449921,0.0003055089,0.0001956267,0.00002830136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001190336,0.000004161596,0.00009208349,0.00007882161,0.00003846121,6.185432e-8,0.0001509716,0.417172,0.5817686,0.00004803498,0.000007041913,0.0006278715],"study_design_scores_gemma":[0.0005353025,0.0000922472,0.003401082,0.0002415439,0.0001806366,0.000002885193,0.00005619899,0.04915614,0.9458321,0.0002254098,0.0001096772,0.0001667779],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956033,0.00006407186,0.003398643,0.00002560721,0.0001919532,0.000447787,0.00001456409,0.00008376246,0.0001703724],"genre_scores_gemma":[0.9975952,0.000003575315,0.002246835,0.00002137829,0.00004943203,0.00003367418,0.000003626923,0.00004280384,0.000003496276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3680158,"threshold_uncertainty_score":0.446219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416016298312253,"score_gpt":0.2243134378247533,"score_spread":0.2101532748416308,"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."}}