{"id":"W2064468097","doi":"10.1007/978-1-4612-1392-5_53","title":"Steam Pretreatment of Douglas-Fir Wood Chips","year":2000,"lang":"en","type":"book-chapter","venue":"Humana Press eBooks","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hemicellulose; Cellulose; Hydrolysis; Steam explosion; Chemistry; Softwood; Pulp and paper industry; Monomer; Enzymatic hydrolysis; Degradation (telecommunications); Nanocellulose; Chromatography; Chemical engineering; Organic chemistry; Polymer","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":[0.00003814052,0.0002257198,0.00009935527,0.0001266292,0.00005943476,0.0001135031,0.0001208476,0.00008241491,0.001336852],"category_scores_gemma":[0.00003521895,0.00007095285,0.0001199144,0.0001330772,0.00006599787,0.0001021215,0.00007707596,0.0001546235,0.0004175947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001683327,"about_ca_system_score_gemma":0.000113105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001495376,"about_ca_topic_score_gemma":0.004319191,"domain_scores_codex":[0.9999819,0.000001639045,8.171106e-7,0.000003394311,0.000007215168,0.000004948113],"domain_scores_gemma":[0.9999876,0.000002985624,0.000002165641,0.000001878823,0.000003021679,0.000002423705],"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":[0.00004470404,0.00001116304,0.0002418231,0.00007532704,0.000003452782,0.00006178884,0.00002336473,0.0002578806,0.9870122,0.0001390819,0.0001113381,0.01201785],"study_design_scores_gemma":[0.000004770091,0.0002387616,0.01044069,0.00001183144,0.0000123333,0.0002116828,0.00003466264,0.0007397702,0.9774827,0.0001590169,0.01065842,0.000005255859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969876,0.004876061,0.008520213,0.00007477734,0.00003734471,0.00003359001,0.0003363634,0.0001253398,0.01612032],"genre_scores_gemma":[0.9638277,0.00335039,0.004540212,0.00007710818,0.00001250887,0.00001246284,0.0007244311,0.00003427508,0.02742093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001495376,"threshold_uncertainty_score":0.004472196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.027315125826375,"score_gpt":0.1998053062385887,"score_spread":0.1724901804122138,"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."}}