{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000343239,0.0001336144,0.0001403228,0.00003528991,0.00003476133,0.000004478649,0.00009782403,0.0004141401,0.0002146945],"category_scores_gemma":[0.000001479572,0.0001169892,0.00002648419,0.0001329731,0.0001733813,0.00001308326,0.00002562129,0.0001561003,0.00002549214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000179899,"about_ca_system_score_gemma":0.000005411413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000263519,"about_ca_topic_score_gemma":1.851706e-7,"domain_scores_codex":[0.9994426,0.000002222513,0.0001397442,0.0002106774,0.00005231468,0.00015239],"domain_scores_gemma":[0.9996999,0.000004673609,0.00002048566,0.0002325207,0.000005939661,0.00003650292],"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":[0.00002765627,0.00004646366,0.00001854452,0.000167706,0.00003917356,0.000001004722,0.00001519632,0.000007289167,0.9330303,0.0001177539,0.0006927442,0.06583615],"study_design_scores_gemma":[0.0003441156,0.00003803647,0.00004861395,0.000008271636,0.00001367394,0.00002179844,0.00008011793,0.00005395601,0.9628747,0.0001035175,0.03628925,0.0001239548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919164,0.0009434742,0.00001336792,0.0003295107,0.00008425261,0.0001108543,0.0000115432,0.0003099484,0.006280713],"genre_scores_gemma":[0.9978674,0.001407922,0.0003480491,0.00002383497,0.0000708507,0.000009575746,0.00001743804,0.000009044664,0.0002458808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06571219,"threshold_uncertainty_score":0.4770679,"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."}}