{"id":"W2985432669","doi":"10.1016/j.jobe.2019.101047","title":"Parametric analysis of moisture sorption isotherms for wood sheathing using hygrothermal modelling","year":2019,"lang":"en","type":"article","venue":"Journal of Building Engineering","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sorption; Durability; Moisture; Work (physics); Parametric statistics; Materials science; Porosity; Environmental science; Composite material; Process engineering; Mechanical engineering; Adsorption; Engineering; Chemistry; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000821044,0.000269966,0.0008526661,0.001398681,0.00003135202,0.00007046715,0.0003164036,0.000158007,0.00003406647],"category_scores_gemma":[0.00006889512,0.0002556964,0.0004570976,0.0008245367,0.0000122766,0.000460097,0.00002734877,0.0002551807,9.605685e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002022979,"about_ca_system_score_gemma":0.00002214875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001633625,"about_ca_topic_score_gemma":2.99487e-7,"domain_scores_codex":[0.9981969,0.00002049121,0.0009175023,0.0001640303,0.0003312667,0.0003698132],"domain_scores_gemma":[0.9990269,0.0001598172,0.0003303215,0.0002398698,0.000154606,0.00008849666],"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":[0.00002347197,0.000008602813,0.0001489457,0.0002174055,0.0006364221,0.000001192233,0.000108754,0.559392,0.4392098,0.00004503646,0.000002912753,0.0002054706],"study_design_scores_gemma":[0.0004300641,0.00006728427,0.0001230333,0.0003174059,0.0005276856,0.00001627896,0.0000239584,0.902665,0.09545486,0.00002298522,0.0001051198,0.0002463295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.582566,0.0004614516,0.4162847,0.000003856274,0.0004602413,0.0001462793,0.000007039373,0.00005493512,0.00001547462],"genre_scores_gemma":[0.9268993,0.00004201601,0.07271945,0.000007643568,0.0002082523,0.000003711477,0.000001233115,0.0001100004,0.000008364335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3443334,"threshold_uncertainty_score":0.9999895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01762849530305666,"score_gpt":0.2255755181549436,"score_spread":0.207947022851887,"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."}}