{"id":"W2623842620","doi":"10.1007/978-3-662-54959-9_3","title":"Degradation of Lignin by Depolymerization","year":2017,"lang":"en","type":"book-chapter","venue":"Green chemistry and sustainable technology","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Depolymerization; Lignin; Catalysis; Hydrolysis; Chemistry; Organic chemistry; Reactivity (psychology); Degradation (telecommunications); Polymer chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000401766,0.0002831835,0.0003509067,0.00005062275,0.000101527,0.00001911465,0.0002783076,0.00109749,0.00002248267],"category_scores_gemma":[0.00001582615,0.0003286164,0.00004606978,0.0000251827,0.0002542159,0.0000668483,0.0001256438,0.0003412952,0.000001620241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004228818,"about_ca_system_score_gemma":0.00004106147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001326219,"about_ca_topic_score_gemma":4.446289e-7,"domain_scores_codex":[0.9990971,0.000001139305,0.0002551844,0.0002567166,0.0001001101,0.0002897259],"domain_scores_gemma":[0.9992382,0.00001139127,0.0001571312,0.0004813128,0.00005931922,0.00005267992],"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":[0.000005427868,0.00001532837,0.00008580428,0.006033162,0.0002201549,0.00009223926,0.00002795858,0.000002573237,0.9560249,0.01049635,0.01710796,0.009888061],"study_design_scores_gemma":[0.0001835307,0.00001291853,1.705487e-7,0.00009050984,0.00004884399,0.00003138712,0.00009636451,0.00003814185,0.9578769,0.006873713,0.03445597,0.0002915049],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005195515,0.008126342,0.0001477707,0.0001760238,0.0000430759,0.0001834681,0.00008298655,0.0005711857,0.9854736],"genre_scores_gemma":[0.3262667,0.0009830778,0.00008683399,0.000004569552,0.00005919248,0.00001645845,0.0002636942,0.00006691591,0.6722526],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3210712,"threshold_uncertainty_score":0.9999166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003524772245259938,"score_gpt":0.1765448514823454,"score_spread":0.1730200792370854,"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."}}