{"id":"W2114566397","doi":"10.1002/jctb.4333","title":"Subcritical hydrolysis and characterization of waste proteinaceous biomass for value added applications","year":2014,"lang":"en","type":"article","venue":"Journal of Chemical Technology & Biotechnology","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Industry Canada","keywords":"Hydrolysis; Raw material; Chemistry; Biomass (ecology); Yield (engineering); Degradation (telecommunications); Chromatography; Organic chemistry; Materials science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001687971,0.0001372384,0.000371218,0.0004808057,0.00004026929,0.0000066897,0.0002795101,0.0007102365,0.000003888092],"category_scores_gemma":[0.0001476943,0.0001306276,0.0000777226,0.0005530125,0.0005298493,0.0000537358,0.00005257029,0.0003584264,0.000002139633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003238819,"about_ca_system_score_gemma":0.0000125512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.897687e-7,"about_ca_topic_score_gemma":1.055319e-7,"domain_scores_codex":[0.9990051,0.000009651292,0.0005218734,0.0001790429,0.00008274849,0.0002015499],"domain_scores_gemma":[0.9992581,0.00004566254,0.0001856251,0.0002956822,0.0001646594,0.00005028001],"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":[0.00001188496,0.00005186728,0.00001950096,0.00008377418,0.00004928287,2.3153e-7,0.000005493136,0.000002299824,0.9392592,0.02535691,0.00004474206,0.03511485],"study_design_scores_gemma":[0.0003689174,0.000119866,0.00001145468,0.00001849916,0.00005901412,0.0001345291,0.00002497081,0.002095866,0.9624963,0.01298399,0.02157677,0.0001097654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8277816,0.0002861475,0.1590963,0.01203006,0.00006129566,0.0004072023,0.00001834356,0.0002854315,0.00003366136],"genre_scores_gemma":[0.9869976,0.0001472398,0.01255987,0.00002456293,0.00009885366,0.0001364987,0.000008312511,0.00002111635,0.000005953402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.159216,"threshold_uncertainty_score":0.5477995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004496834127305168,"score_gpt":0.2049864578487508,"score_spread":0.2004896237214457,"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."}}