{"id":"W2243863052","doi":"","title":"VISCOELASTICITY OF WOOD COMPOSITE MATS DURING CONSOLIDATION","year":2001,"lang":"en","type":"article","venue":"Wood and Fiber Science (Society of Wood Science and Technology)","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Creep; Viscoelasticity; Materials science; Stress relaxation; Composite material; Consolidation (business); Flake; Composite number; Compaction; Porosity; Stress (linguistics); Compression (physics); Geotechnical engineering; Geology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003840257,0.0001558378,0.0002335683,0.0003063608,0.0004502016,0.00007086402,0.0003788281,0.00009876072,0.00001021884],"category_scores_gemma":[0.00003034835,0.0001305587,0.0000332449,0.002228455,0.00401262,0.0007101909,0.0001951093,0.0001329849,0.000004077915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000386701,"about_ca_system_score_gemma":0.00008055856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001074274,"about_ca_topic_score_gemma":0.000002371988,"domain_scores_codex":[0.9986209,0.000004149184,0.0002342583,0.000341217,0.0004019066,0.0003975711],"domain_scores_gemma":[0.999388,0.00001895049,0.00007441708,0.0002313234,0.0001961811,0.00009112045],"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":[0.000006481257,0.00005194776,0.00682056,0.00009326282,0.00002313738,0.000001419662,0.00101889,0.00004762789,0.9835779,0.0005406376,0.00004294189,0.007775213],"study_design_scores_gemma":[0.0006232547,0.0002239417,0.0133561,0.0001387468,0.00003208613,0.00006242904,0.001171761,0.004976838,0.978182,0.0006694347,0.0002992972,0.0002640733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973237,0.0005789823,0.00006632916,0.0003370973,0.00006554602,0.000135222,0.000005382706,0.0001393569,0.00134838],"genre_scores_gemma":[0.9964241,0.0004990483,0.002989416,0.00001281679,0.00001006581,0.000006026527,5.229319e-7,0.000006539233,0.00005148789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00751114,"threshold_uncertainty_score":0.9986979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008178475514444138,"score_gpt":0.2048931983120905,"score_spread":0.1967147227976463,"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."}}