{"id":"W4386148224","doi":"10.54337/aau541621854","title":"Modelling hygrothermal performance of wood assemblies exposed to fungi growth","year":2023,"lang":"en","type":"report","venue":"","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Fungal growth; Brick; Environmental science; Moisture; Fungus; Materials science; Computer science; Composite material; Botany; Biology","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":[0.0002464717,0.0007024762,0.000428107,0.000368736,0.0002395802,0.0008338678,0.0006478609,0.001227296,0.001314331],"category_scores_gemma":[0.0004904601,0.0002938546,0.0007122644,0.000372022,0.0003421021,0.000463135,0.0003572742,0.0003263101,0.0003792591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004567897,"about_ca_system_score_gemma":0.0003237431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006886856,"about_ca_topic_score_gemma":0.003805973,"domain_scores_codex":[0.9998549,0.00003028246,0.000007051498,0.00003177645,0.00003963032,0.00003637737],"domain_scores_gemma":[0.999749,0.0001355153,0.00003801747,0.00002681181,0.00003364251,0.00001699094],"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":[0.00004560191,0.0000471419,0.002038531,0.00004822161,0.00001163395,0.00009824672,0.00003406473,0.9827917,0.01297309,0.0001704873,0.00003764981,0.001703672],"study_design_scores_gemma":[0.000006727026,0.0001139683,0.002200556,0.00000780621,0.00001211177,0.00003232041,0.00003446608,0.9903865,0.006842228,0.0001066021,0.000248054,0.000008671843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750487,0.0002295659,0.01909399,0.00002881512,0.00001566655,0.00004316419,0.0003321855,0.0001063026,0.005101505],"genre_scores_gemma":[0.9951646,0.0001745913,0.002847272,0.000006249877,0.00000240396,0.00004172793,0.0001659603,0.00002343588,0.001573613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006886856,"threshold_uncertainty_score":0.01369357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0815241859580443,"score_gpt":0.2610434893568057,"score_spread":0.1795193033987614,"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."}}