{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001020953,0.0004467223,0.0001785028,0.0002859034,0.0001505067,0.0004198674,0.0001514649,0.0002368779,0.001087612],"category_scores_gemma":[0.00006364146,0.0001041142,0.0002327791,0.0002465284,0.0001184617,0.000278206,0.0002151044,0.0002871726,0.0004850839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001355795,"about_ca_system_score_gemma":0.0001501997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002430198,"about_ca_topic_score_gemma":0.0008688858,"domain_scores_codex":[0.9999055,0.00001182525,0.000005060596,0.00001480887,0.00003300484,0.00002986315],"domain_scores_gemma":[0.9999634,0.000005187055,0.00001301712,0.000003787696,0.000006809866,0.000007813912],"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":[0.00002471813,0.0000419858,0.0004160573,0.0002966629,0.000008375813,0.0001632392,0.00002635965,0.000213781,0.9860275,0.0002741774,0.00002831581,0.01247892],"study_design_scores_gemma":[0.000002027119,0.0002134433,0.00263757,0.00002165488,0.00001327111,0.0002648697,0.00006119767,0.0002324899,0.9919411,0.0000816149,0.004526038,0.000004759836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647213,0.01461449,0.01109232,0.0001004513,0.00006349524,0.00005296257,0.0002363002,0.0000699076,0.009048887],"genre_scores_gemma":[0.9794977,0.006062679,0.007330677,0.00005803646,0.00002530355,0.00002596999,0.0003031188,0.00001851381,0.006678061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001087612,"threshold_uncertainty_score":0.003638387,"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."}}