{"id":"W1715141232","doi":"10.1039/c5ra09676f","title":"Biocomposite adhesion without added resin: understanding the chemistry of the direct conversion of wood into adhesives","year":2015,"lang":"en","type":"article","venue":"RSC Advances","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Biotech (Canada); University of British Columbia","funders":"Biological and Environmental Research; National Institute of Food and Agriculture","keywords":"Adhesive; Biocomposite; Cellulose; Lignin; Adhesion; Biomass (ecology); Chemistry; Polymer science; Chemical engineering; Polymer chemistry; Materials science; Composite material; Organic chemistry; Composite number","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001076545,0.0004991131,0.0003097623,0.000196476,0.0002143947,0.0006088255,0.0006075699,0.0008731119,0.001102473],"category_scores_gemma":[0.0001245922,0.0003102657,0.0001876045,0.0001895357,0.0006185572,0.001437807,0.0002871222,0.001278291,0.0007887257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005095845,"about_ca_system_score_gemma":0.0002834855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008755528,"about_ca_topic_score_gemma":0.001101675,"domain_scores_codex":[0.9999402,0.000003904833,0.000001911777,0.00001695787,0.00001767972,0.0000193709],"domain_scores_gemma":[0.9999621,0.00001141319,0.000009222871,0.000004696841,0.000006363274,0.000006354511],"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":[0.00004520624,0.0000657217,0.0003272613,0.0003808877,0.000007997316,0.0002401727,0.00008118535,0.001521681,0.9729116,0.009739744,0.0004313147,0.01424722],"study_design_scores_gemma":[0.0000126282,0.000155698,0.001891611,0.00002909203,0.00001857559,0.0005666278,0.0001840993,0.02263715,0.9482461,0.01102087,0.01521322,0.00002426418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7470626,0.05943813,0.1622331,0.002859888,0.0004895692,0.0001266305,0.0002987016,0.0005959408,0.02689541],"genre_scores_gemma":[0.9336548,0.02988451,0.02799158,0.0005497958,0.0001093434,0.00008013351,0.000212681,0.00006078993,0.007456482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001102473,"threshold_uncertainty_score":0.003697336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732796338563076,"score_gpt":0.2321597577609509,"score_spread":0.2148317943753202,"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."}}