{"id":"W2248194611","doi":"","title":"Bio based phenolic resins and adhesives derived from forestry residues wastes and lignin","year":2012,"lang":"en","type":"dissertation","venue":"Knowledge Commons (Lakehead University)","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs; Ministry of Agriculture, Food and Rural Affairs; Northern Ontario Heritage Fund Corporation","keywords":"Lignin; Adhesive; Table (database); Table of contents; Forestry; Organic chemistry; Polymer science; Chemistry; Pulp and paper industry; Engineering; Geography; Computer science; Data mining; World Wide Web","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000399467,0.000468209,0.0004647222,0.000355707,0.0002219654,0.00006622294,0.000302458,0.0007519053,0.00001951014],"category_scores_gemma":[0.00001643959,0.0005545549,0.00009131426,0.0002833288,0.0001260229,0.0001959084,0.00008250271,0.00057577,0.00002089835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009830428,"about_ca_system_score_gemma":0.00009417182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005578043,"about_ca_topic_score_gemma":0.03199803,"domain_scores_codex":[0.9988801,0.00004805782,0.0001973628,0.0003839624,0.0001083111,0.0003822404],"domain_scores_gemma":[0.9989522,0.0002201115,0.00007523377,0.0003908754,0.00007990102,0.0002816553],"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":[0.0005123276,0.0009004729,0.347346,0.008942801,0.002391925,0.0004177578,0.02474937,0.00004664343,0.5193531,0.003417964,0.0811268,0.0107948],"study_design_scores_gemma":[0.002420878,0.00008986755,0.1710636,0.001978193,0.0009165831,0.000005859636,0.0039742,0.0002078055,0.7718427,0.0002716867,0.04528681,0.001941798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8942171,0.009624767,0.000006906875,0.00002760866,0.0002902404,0.0001545953,0.0001566481,0.0003088601,0.09521323],"genre_scores_gemma":[0.9931115,0.00006694274,0.0001031864,0.000001261935,0.0001949309,0.000002936262,0.0009693092,0.00008023065,0.005469688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2524896,"threshold_uncertainty_score":0.9996906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451905857701569,"score_gpt":0.208727563179166,"score_spread":0.1942085046021503,"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."}}