{"id":"W153023967","doi":"","title":"A Rapid Method to Assess Viscoelastic and Mechanosorptive Creep in Wood","year":2013,"lang":"en","type":"article","venue":"Wood and Fiber Science (Society of Wood Science and Technology)","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Creep; Viscoelasticity; Materials science; Composite material; Maple; Dynamic mechanical analysis; Stress (linguistics); Polymer; Botany","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008175942,0.0007063706,0.0004386138,0.001572309,0.0003488559,0.0003792511,0.0005253369,0.0005425507,0.001447964],"category_scores_gemma":[0.001111127,0.0002523286,0.0002322566,0.0008466358,0.0002822791,0.000874546,0.0004321208,0.0009367227,0.0005004444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002008049,"about_ca_system_score_gemma":0.0002839064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003873807,"about_ca_topic_score_gemma":0.001338429,"domain_scores_codex":[0.9992448,0.0001014296,0.00004505306,0.0001342716,0.0004340074,0.00004053138],"domain_scores_gemma":[0.9989393,0.0003869846,0.000213184,0.0001154803,0.0002959756,0.00004911109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004261668,0.00004805823,0.001775174,0.0001919144,0.00001195548,0.00002812257,0.00006699968,0.0001246369,0.9587886,0.0002183378,0.0001644473,0.03853918],"study_design_scores_gemma":[0.00002528433,0.0007801743,0.03098196,0.00006991367,0.00006056827,0.0008113411,0.0002396557,0.007195368,0.9460114,0.0004555603,0.0132869,0.00008186756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3125179,0.00990109,0.6691326,0.0002100578,0.0004389042,0.0004763971,0.001079801,0.001351663,0.004891532],"genre_scores_gemma":[0.6099284,0.005546215,0.3738903,0.0002543562,0.0002071378,0.001437554,0.0007537717,0.0001610168,0.0078212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001572309,"threshold_uncertainty_score":0.00484395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01730279951390259,"score_gpt":0.2383200790055994,"score_spread":0.2210172794916968,"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."}}