{"id":"W2133924582","doi":"","title":"Quantitative Analysis of Lignocellulosic Components of Non-Treated and Steam Exploded Barley, Canola, Oat and Wheat Straw Using Fourier Transform Infrared Spectroscopy","year":2011,"lang":"en","type":"article","venue":"The Keep (Eastern Illinois University)","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canadian Light Source","keywords":"Steam explosion; Hemicellulose; Cellulose; Lignocellulosic biomass; Lignin; Biomass (ecology); Canola; Straw; Biofuel; Pulp and paper industry; Fourier transform infrared spectroscopy; Raw material; Agronomy; Chemistry; Environmental science; Food science; Biotechnology; Chemical engineering; Organic chemistry; Biology","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":[0.0002416942,0.0004520751,0.0002309317,0.0005716022,0.0001687377,0.0003065738,0.0001762813,0.0002093684,0.0008481103],"category_scores_gemma":[0.0002915913,0.0001339628,0.0002306325,0.0005222873,0.0002189211,0.0002536415,0.00009350948,0.0002510654,0.00020211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002344863,"about_ca_system_score_gemma":0.0002127011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002700525,"about_ca_topic_score_gemma":0.003518354,"domain_scores_codex":[0.999893,0.00001147453,0.00000892633,0.00002335214,0.00004977572,0.00001347806],"domain_scores_gemma":[0.9998477,0.00005486314,0.00002079508,0.00001034697,0.00005224569,0.00001422362],"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":[0.00005229064,0.00001772222,0.0006032494,0.00002320232,0.000004245225,0.00001525662,0.00002036552,0.0000874751,0.9975473,0.00001698587,0.000005766776,0.001605998],"study_design_scores_gemma":[0.000004670333,0.0001278969,0.02409371,0.000004153611,0.0000124418,0.00005874674,0.00005887097,0.002110073,0.9731126,0.00004027379,0.0003703583,0.000006298006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910075,0.0003194548,0.007063564,0.00001548907,0.00000812111,0.00002895598,0.0008211106,0.00004251527,0.0006932791],"genre_scores_gemma":[0.9692643,0.0009602205,0.02088035,0.00003306261,0.000008684297,0.00009817562,0.003190433,0.00005507101,0.005509796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002700525,"threshold_uncertainty_score":0.005369604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03182160286384519,"score_gpt":0.204429327595742,"score_spread":0.1726077247318968,"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."}}