{"id":"W2961972550","doi":"10.1016/j.indcrop.2019.111521","title":"Sequential treatment with pressurized fluid processing and ultrasonication for biorefinery of canola straw towards lignocellulosic nanofiber production","year":2019,"lang":"en","type":"article","venue":"Industrial Crops and Products","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Sonication; Biorefinery; Cellulose; Hemicellulose; Lignocellulosic biomass; Straw; Canola; Lignin; Fiber; Chemistry; Materials science; Ethanol fuel; Biofuel; Pulp and paper industry; Ethanol; Chromatography; Composite material; Raw material; Food science; Organic chemistry; Biotechnology","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":[0.0003853161,0.0001923018,0.0003267925,0.00006293815,0.0001619231,0.00008253613,0.00007449595,0.00008820375,0.00001366556],"category_scores_gemma":[0.0001570081,0.0001309324,0.00001966688,0.0001805287,0.0002506023,0.0003227402,0.00004243838,0.00006755237,0.000001409895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005966912,"about_ca_system_score_gemma":0.0003776469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002070592,"about_ca_topic_score_gemma":0.00001699762,"domain_scores_codex":[0.9985484,0.00006527528,0.0002600811,0.0005884855,0.0002461654,0.0002915697],"domain_scores_gemma":[0.9991426,0.0000483201,0.0001986974,0.0002370931,0.0003117991,0.00006142924],"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":[0.0008586875,0.00007289153,0.0005338115,0.0002528022,0.00003076066,7.685393e-7,0.0003877065,0.00002572046,0.9700317,0.00002989462,0.00006547711,0.02770978],"study_design_scores_gemma":[0.00178032,0.001093573,0.0001965636,0.0001278071,0.00006996092,0.000010777,0.0001065697,0.00001892612,0.9924498,0.00006642522,0.00391292,0.0001664098],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952181,0.001862871,0.00004503523,0.0007338759,0.0002663977,0.001700829,0.00005418222,0.00003290638,0.00008577751],"genre_scores_gemma":[0.9962194,0.0002954676,0.001722416,0.000003407033,0.0004802781,0.0001033354,0.00002069721,0.00002060267,0.001134389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02754337,"threshold_uncertainty_score":0.5339267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05393944897743842,"score_gpt":0.2876754596595372,"score_spread":0.2337360106820988,"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."}}