{"id":"W2380879920","doi":"","title":"Evaluation of Creep Characteristics of Adhesives for Wood Structures","year":2008,"lang":"en","type":"article","venue":"Mucai gongye","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Creep; Adhesive; Larch; Materials science; Composite material; Formaldehyde; Phenol; Softwood; Phenol formaldehyde resin; Solid wood; Chemistry; Botany","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004189654,0.0004472745,0.0002828937,0.0005527921,0.0003231957,0.0001597087,0.0001288625,0.0002276427,0.0008750245],"category_scores_gemma":[0.0009026233,0.0001410308,0.0002521261,0.0003967537,0.0001433734,0.0003040501,0.0001680846,0.0002978715,0.0001321415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001864793,"about_ca_system_score_gemma":0.0001955964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000715011,"about_ca_topic_score_gemma":0.001793735,"domain_scores_codex":[0.9996532,0.00005628032,0.00002771571,0.0000426781,0.0001648086,0.00005519424],"domain_scores_gemma":[0.9990116,0.0002014321,0.0001808121,0.00006216701,0.0004664345,0.00007746281],"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":[0.0000829914,0.00001771867,0.00137838,0.0000690156,0.000006717718,0.00006109192,0.00007972509,0.00009827335,0.9945217,0.00001898668,0.00002644636,0.003638827],"study_design_scores_gemma":[0.000007826897,0.00161332,0.04591854,0.00001921708,0.0000518649,0.0004083924,0.0001763754,0.00109932,0.9487874,0.00002992155,0.001872073,0.00001571564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968957,0.0009825723,0.001587668,0.000009807995,0.00001297062,0.00001713248,0.00006703501,0.00001638978,0.0004107606],"genre_scores_gemma":[0.9959832,0.0004947867,0.002298387,0.00001982481,0.000009672801,0.00003133067,0.0001349576,0.00001542902,0.001012458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008750245,"threshold_uncertainty_score":0.002927244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05467727625576068,"score_gpt":0.249475712682833,"score_spread":0.1947984364270723,"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."}}