{"id":"W4386432421","doi":"10.1007/978-981-19-9822-5_87","title":"Hygrothermal Criteria for Design of Cross-Laminated Timber External Walls","year":2023,"lang":"en","type":"book-chapter","venue":"Environmental science and engineering","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; National Research Council Canada","funders":"","keywords":"Cross laminated timber; Moisture; Water content; Focus (optics); Structural engineering; Materials science; Environmental science; Composite material; Engineering; Geotechnical engineering; Physics","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":[0.0004951638,0.0003099552,0.0003083743,0.0001575177,0.00007296341,0.00009639449,0.0002949742,0.0001453975,0.0002575114],"category_scores_gemma":[0.00002102495,0.0003116491,0.00005339276,0.00003058658,0.0003443493,0.0002901232,0.0001180609,0.0001134048,0.0000543622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451757,"about_ca_system_score_gemma":0.00001193935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002353748,"about_ca_topic_score_gemma":7.721636e-8,"domain_scores_codex":[0.9986539,0.000002974017,0.000320735,0.0003074504,0.000334579,0.0003803194],"domain_scores_gemma":[0.9995896,0.00004476353,0.00005000933,0.0001994418,0.00001148702,0.000104648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001204094,0.000003081169,0.000004150518,0.000180716,0.0000237674,0.000005262792,0.00007583455,0.1357656,0.8623984,0.0001996628,0.00005296328,0.001278484],"study_design_scores_gemma":[0.001090487,0.0003579607,0.002611862,0.001312618,0.00009862563,0.0000515689,0.00001437513,0.6056724,0.373495,0.0006321981,0.01258152,0.002081402],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8650625,0.002211527,0.08809222,0.00003691071,0.005062245,0.004531868,0.0009093397,0.001914895,0.03217845],"genre_scores_gemma":[0.9295762,0.0006761333,0.01698395,0.00002593619,0.0003673702,0.0001209359,0.00001781947,0.0005024992,0.05172914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4889035,"threshold_uncertainty_score":0.9999335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02218124641888411,"score_gpt":0.2252875389123637,"score_spread":0.2031062924934796,"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."}}