{"id":"W2076424572","doi":"10.1520/acem20120048","title":"Preliminary Characterization of Physical Properties of Cross-Laminated-Timber (CLT) Panels for Hygrothermal Modelling","year":2013,"lang":"en","type":"article","venue":"Advances in Civil Engineering Materials","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations; National Research Council Canada; Carleton University","funders":"","keywords":"Composite material; Adhesive; Materials science; Softwood; Cross laminated timber; Absorption of water; Engineered wood; Moisture; Polyurethane; Environmental science; Layer (electronics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004486961,0.0003651491,0.0001867419,0.0004065444,0.0002319647,0.0003656306,0.0003928158,0.0003016545,0.001495855],"category_scores_gemma":[0.000610581,0.0002011213,0.0002426209,0.0002527399,0.0002427239,0.0002345946,0.0002126887,0.0001964754,0.0002898401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002515899,"about_ca_system_score_gemma":0.0001916052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003323691,"about_ca_topic_score_gemma":0.009679596,"domain_scores_codex":[0.9997599,0.00003159491,0.00001408168,0.00003816472,0.0001216981,0.00003460561],"domain_scores_gemma":[0.9996058,0.00009767701,0.00004370361,0.00006101697,0.0001607678,0.0000309584],"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":[0.0001544185,0.00006974272,0.01495305,0.0001855179,0.00001791772,0.0003598214,0.0002395053,0.04156091,0.9289143,0.000111802,0.0001888764,0.01324417],"study_design_scores_gemma":[0.00001572133,0.0009013824,0.1803579,0.00004753515,0.00005561649,0.000358994,0.00053725,0.1278709,0.687112,0.00009609419,0.002610767,0.0000358278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913429,0.0000897084,0.006813308,0.000006170212,0.000005266093,0.00003805806,0.0004372589,0.00007944087,0.001187817],"genre_scores_gemma":[0.9961036,0.0000517251,0.003011877,0.000004671687,6.896083e-7,0.00002433159,0.0002777455,0.00002087791,0.0005044451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003323691,"threshold_uncertainty_score":0.006608725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0141127725964376,"score_gpt":0.2174568273565075,"score_spread":0.2033440547600699,"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."}}