{"id":"W4414303960","doi":"10.1016/j.bcab.2025.103775","title":"Integrated acid-thermal and enzymatic hydrolysis of hardwood residues with anaerobic digestion: Effects on carbohydrate and biomethane recovery","year":2025,"lang":"en","type":"article","venue":"Biocatalysis and Agricultural Biotechnology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Carbohydrate; Biogas; Anaerobic digestion; Hardwood; Hydrolysis; Enzymatic hydrolysis; Sugar; Bioenergy; Renewable energy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002052976,0.0007588938,0.0005158837,0.0002479649,0.0002608424,0.0005178918,0.0002862656,0.0002535566,0.0007168244],"category_scores_gemma":[0.0001191979,0.0002139893,0.0004110349,0.0003283247,0.0001987004,0.0002675779,0.0003524732,0.0005296392,0.0001992675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006144877,"about_ca_system_score_gemma":0.0009441319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02745839,"about_ca_topic_score_gemma":0.09567429,"domain_scores_codex":[0.9997845,0.000012329,0.000009695597,0.00003340756,0.0000917325,0.0000683382],"domain_scores_gemma":[0.9999325,0.000008014198,0.00001559428,0.000004945708,0.0000188066,0.00002008358],"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":[0.0001574279,0.00005953804,0.0005455702,0.00009101786,0.00002409372,0.00004046176,0.00001483232,0.0003212643,0.9952592,0.00001729999,0.00001665495,0.003452567],"study_design_scores_gemma":[0.00001014031,0.0002922845,0.009862485,0.000009534729,0.00005228162,0.00006367586,0.00005195358,0.001435384,0.9870969,0.00001103915,0.001102313,0.00001213244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957855,0.001267588,0.001967929,0.00001996705,0.00000966487,0.00002332589,0.00009341076,0.00002087992,0.0008117087],"genre_scores_gemma":[0.991187,0.001480528,0.004757193,0.0000295605,0.000004270347,0.0000155306,0.0002280096,0.00001369266,0.002284262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02745839,"threshold_uncertainty_score":0.05459714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003189081427155607,"score_gpt":0.1672315886760773,"score_spread":0.1640425072489217,"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."}}