{"id":"W2242183548","doi":"10.1385/abab:84-86:1-9:693","title":"Steam Pretreatment of Douglas-Fir Wood Chips","year":2000,"lang":"en","type":"article","venue":"Applied Biochemistry and Biotechnology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Resources Canada","keywords":"Hemicellulose; Cellulose; Hydrolysis; Steam explosion; Chemistry; Softwood; Pulp and paper industry; Monomer; Enzymatic hydrolysis; Douglas fir; Degradation (telecommunications); Nanocellulose; Chromatography; Chemical engineering; Organic chemistry; Botany; Polymer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008860311,0.0002362613,0.0002144242,0.0001311518,0.0001710035,0.0001716088,0.0001129948,0.0001349874,0.002021266],"category_scores_gemma":[0.0001394005,0.0001039909,0.0001952514,0.0001364362,0.0001218825,0.0001781006,0.0001194299,0.0002718113,0.000213825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001838273,"about_ca_system_score_gemma":0.0003024453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002627648,"about_ca_topic_score_gemma":0.007276442,"domain_scores_codex":[0.9999501,0.000005008067,0.000002235397,0.000007038422,0.00001009223,0.00002549098],"domain_scores_gemma":[0.9999533,0.00001579159,0.000007415626,0.000004471493,0.00001065899,0.000008422854],"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":[0.0004807574,0.00002582013,0.0006753886,0.00006603437,0.0000140251,0.00005743428,0.00005666671,0.0002882981,0.9934636,0.00008471618,0.00008881219,0.004698589],"study_design_scores_gemma":[0.000007624336,0.0001780216,0.006967122,0.000004301276,0.00001034403,0.00002940348,0.00005116983,0.0006019017,0.9912374,0.0000319036,0.0008766842,0.00000409579],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977896,0.0004436588,0.0007179563,0.00003809608,0.00002145297,0.000005757081,0.000083122,0.00001188169,0.0008884892],"genre_scores_gemma":[0.9977142,0.0002199423,0.0003083442,0.00001933659,0.000006733327,0.000002728398,0.0001346437,0.000006321684,0.001587641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002627648,"threshold_uncertainty_score":0.006761789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003750283977330554,"score_gpt":0.1674706886800724,"score_spread":0.1637204047027418,"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."}}