{"id":"W4226158109","doi":"10.1007/s00226-022-01376-z","title":"Interaction of lignin and hemicelluloses in hydrolysate and with stainless steel surface","year":2022,"lang":"en","type":"article","venue":"Wood Science and Technology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Hydrolysate; Hemicellulose; Lignin; Adsorption; Hydrolysis; Quartz crystal microbalance; Chemistry; Softwood; Chemical engineering; Materials science; Composite material; Organic chemistry","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":[0.0002968594,0.0003341094,0.0002225765,0.0002433894,0.0003315108,0.0003726027,0.0004314752,0.0005023906,0.002874806],"category_scores_gemma":[0.000457076,0.000183632,0.0004183843,0.0002336553,0.00022225,0.0002880036,0.0001686528,0.0003579163,0.000435654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000499204,"about_ca_system_score_gemma":0.0002954525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004326027,"about_ca_topic_score_gemma":0.004011451,"domain_scores_codex":[0.9996285,0.00005559473,0.00001587317,0.00006735585,0.00009363793,0.0001390283],"domain_scores_gemma":[0.9997774,0.00009848799,0.00002820307,0.00001411874,0.00004183397,0.00003998199],"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":[0.0005297984,0.00006567054,0.0006606783,0.00005295318,0.00002511171,0.00007724152,0.00006421808,0.0002939881,0.9967193,0.0001201745,0.00009078538,0.001300045],"study_design_scores_gemma":[0.00001730055,0.0004070952,0.006674467,0.000005793985,0.00001823721,0.0000509263,0.000143015,0.002408678,0.9894369,0.00004079247,0.0007844481,0.00001237044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975978,0.0003725831,0.0005531719,0.00003308883,0.00002093299,0.000007844011,0.00009361521,0.00001040441,0.001310482],"genre_scores_gemma":[0.9962598,0.0001733147,0.0004305449,0.00003022104,0.000009440635,0.000006594008,0.0003431686,0.000007479432,0.002739478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004326027,"threshold_uncertainty_score":0.00961715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005409699593323927,"score_gpt":0.1922698800182679,"score_spread":0.186860180424944,"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."}}