{"id":"W4380520377","doi":"10.1007/978-3-031-33465-8_53","title":"Numerical Investigation of Mold Growth Risk in Vapor-Permeable Building Envelopes with Bio-Based Insulation in Cold Climates","year":2023,"lang":"en","type":"book-chapter","venue":"Rilem bookseries","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Materials science; Water vapor; Composite material; Dynamic insulation; Polyethylene; Condensation; Building envelope; Thermal insulation; Vacuum insulated panel; Chemistry; Layer (electronics); Meteorology","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":[0.000377122,0.0004700769,0.0007449645,0.0005743675,0.00004854447,0.00006444568,0.0002059728,0.0003387296,0.0000597589],"category_scores_gemma":[0.00007025761,0.0004528193,0.00006435099,0.0001437057,0.0001812105,0.0002858223,0.00004758336,0.0003261289,0.0000287242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002268308,"about_ca_system_score_gemma":0.00009105507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005333471,"about_ca_topic_score_gemma":0.0001436535,"domain_scores_codex":[0.9980904,0.00004512713,0.0008217495,0.0003672773,0.0003145422,0.0003608316],"domain_scores_gemma":[0.9991513,0.0001436475,0.0002744002,0.0002874717,0.00007542445,0.00006774747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005381926,0.00002639536,0.04521397,0.004553678,0.0002437409,0.00009717811,0.001448697,0.7368543,0.1799417,0.03031448,0.0001753682,0.0005923409],"study_design_scores_gemma":[0.002661119,0.0005867549,0.02503119,0.01032182,0.0001614607,0.000007932121,0.0000722039,0.06044199,0.8770903,0.01780023,0.002964364,0.002860638],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982306,0.0003375006,0.0004066311,0.00005726118,0.0003480796,0.001176768,0.0001933475,0.0008284706,0.01434596],"genre_scores_gemma":[0.9941588,0.0002549881,0.0030638,0.00002344407,0.00007212107,0.0000980577,0.00006118049,0.0002754955,0.001992105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6971486,"threshold_uncertainty_score":0.9997923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01666676919010628,"score_gpt":0.1913458593250107,"score_spread":0.1746790901349044,"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."}}