{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000862411,0.0002180368,0.0003051204,0.0005563746,0.0003289317,0.0001841461,0.0004492867,0.0001355057,0.00001704693],"category_scores_gemma":[0.00008063387,0.0001732374,0.00002762251,0.003232497,0.002053184,0.0009836575,0.0003575371,0.00020789,0.00001027691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005153867,"about_ca_system_score_gemma":0.0001059909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004380958,"about_ca_topic_score_gemma":0.00001090862,"domain_scores_codex":[0.9982049,0.00001114383,0.000225825,0.0005782702,0.0003960369,0.0005838343],"domain_scores_gemma":[0.9992839,0.0000572327,0.00004325085,0.0002478899,0.000181998,0.000185748],"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":[0.000006051839,0.00008313896,0.002019664,0.0001101813,0.0000390579,0.000002454994,0.004456768,0.00003716956,0.7851929,0.002728452,0.0003259961,0.2049981],"study_design_scores_gemma":[0.001854771,0.001836506,0.01525274,0.0004245105,0.00007162081,0.00009751306,0.01449115,0.0442758,0.9063461,0.01192997,0.002152241,0.001267123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952764,0.001086371,0.0007632521,0.001270325,0.00006402642,0.0004008627,0.000003974866,0.0001379084,0.0009968776],"genre_scores_gemma":[0.957538,0.0002921338,0.04195152,0.00007908671,0.000009260385,0.0000576579,2.177319e-7,0.000009564961,0.00006257731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.203731,"threshold_uncertainty_score":0.7565043,"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."}}