{"id":"W2004176048","doi":"10.1016/j.biortech.2007.08.083","title":"Co-production of hydrogen and methane from potato waste using a two-stage anaerobic digestion process","year":2007,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":201,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Environment and Climate Change Canada","funders":"","keywords":"Methane; Anaerobic digestion; Hydrogen; Chemistry; Hydrogen production; Raw material; Anaerobic exercise; Pulp and paper industry; Animal science; Nuclear chemistry; Organic chemistry; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002242403,0.0004599072,0.0005986879,0.0002796223,0.000240321,0.0006763518,0.0003475689,0.0005248382,0.0004922811],"category_scores_gemma":[0.0001998615,0.0002875079,0.0003449286,0.0004152414,0.0001471667,0.0004853378,0.0004764714,0.0004713805,0.0003029705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002402437,"about_ca_system_score_gemma":0.000362315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006886537,"about_ca_topic_score_gemma":0.001157152,"domain_scores_codex":[0.9998004,0.00003386594,0.00002368022,0.00004749016,0.0000476674,0.00004690825],"domain_scores_gemma":[0.9999183,0.00001875812,0.00001357294,0.00001176291,0.00001525613,0.00002233282],"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":[0.0003929968,0.00007506829,0.0003027879,0.0000640376,0.0000103712,0.0001021935,0.00002301968,0.0003820011,0.9960749,0.0000383355,0.00002222734,0.002512041],"study_design_scores_gemma":[0.00002345899,0.0002336083,0.001067823,0.000003680481,0.00001647192,0.00006994575,0.00003029924,0.001943068,0.9960411,0.00002868945,0.0005330426,0.000008669394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954914,0.0003820407,0.003294761,0.00003506715,0.00002348202,0.00001529904,0.00008779969,0.00004919305,0.0006210398],"genre_scores_gemma":[0.9941236,0.0002607774,0.003735355,0.00001240384,0.000004929861,0.0000153303,0.0001660568,0.00001086939,0.001670637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006886537,"threshold_uncertainty_score":0.001743019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331471774705159,"score_gpt":0.2574133088661112,"score_spread":0.2440985911190596,"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."}}