{"id":"W3135565359","doi":"10.1007/s13399-021-01408-x","title":"A review on sources and extraction of phenolic compounds as precursors for bio-based phenolic resins","year":2021,"lang":"en","type":"review","venue":"Biomass Conversion and Biorefinery","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Mitacs","keywords":"Pyrolysis; Lignocellulosic biomass; Renewable energy; Biomass (ecology); Pulp and paper industry; Extraction (chemistry); Biofuel; Straw; Waste management; Environmental science; Lignin; Chemistry; Organic chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002123594,0.0006046004,0.001621027,0.0003914959,0.0000883493,0.00004701022,0.0002236807,0.0008486806,0.00007155403],"category_scores_gemma":[0.0001061622,0.0004902222,0.0003904259,0.0005617833,0.0002011803,0.00008215436,0.00008043979,0.0003344342,0.00001609241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008363381,"about_ca_system_score_gemma":0.0001380933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001086016,"about_ca_topic_score_gemma":9.817793e-7,"domain_scores_codex":[0.9981046,0.00009030793,0.0006719204,0.0005879328,0.0002335785,0.0003116529],"domain_scores_gemma":[0.9984828,0.0004974525,0.0003460175,0.000374935,0.0001077958,0.0001909755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006870353,0.0001546025,0.000007057546,0.3717482,0.0004204379,0.00001219402,0.0000313304,2.36481e-7,0.01171066,0.0001459587,0.01854716,0.5971534],"study_design_scores_gemma":[0.0005397439,0.0001526761,9.756934e-7,0.04661148,0.0007770946,0.00002957468,0.0000242802,0.0000245379,0.01614242,0.000009293369,0.9351465,0.0005414361],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001503743,0.9967093,0.00001472507,0.0001804082,0.0002828869,0.000771791,0.0002030812,0.0001739879,0.0001600132],"genre_scores_gemma":[0.001210044,0.9976212,0.0001998141,0.0002446994,0.00007102388,0.00008362264,0.0004042031,0.00008082498,0.00008460972],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9165993,"threshold_uncertainty_score":0.999755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0339923609329482,"score_gpt":0.2947709331612355,"score_spread":0.2607785722282873,"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."}}