{"id":"W2052201823","doi":"10.1007/s00449-015-1352-4","title":"A novel anaerobic two-phase system for biohydrogen production and in situ extraction of organic acid byproducts","year":2015,"lang":"en","type":"article","venue":"Bioprocess and Biosystems Engineering","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre de Recherche Industrielle du Québec; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; U.S. Department of Agriculture","keywords":"Biohydrogen; Hydrogen production; Dark fermentation; Chemistry; Industrial and production engineering; Extraction (chemistry); Hydrogen; Fermentative hydrogen production; Raw material; Bioreactor; Pulp and paper industry; Waste management; Anaerobic digestion; Organic chemistry; Methane","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":[0.000358543,0.0001952111,0.000262947,0.0002661469,0.00002897461,0.00003297802,0.00005315863,0.0000975954,3.094443e-7],"category_scores_gemma":[0.00006980196,0.0001859027,0.00002224872,0.0004064378,0.00002067726,0.0002653866,0.00001513055,0.00007410045,8.112376e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009836925,"about_ca_system_score_gemma":0.00002058207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002513098,"about_ca_topic_score_gemma":0.00005220706,"domain_scores_codex":[0.9990197,0.000005835814,0.0003461398,0.000310498,0.0001161681,0.0002016115],"domain_scores_gemma":[0.9995649,0.000006633218,0.00007297363,0.0001346901,0.0001187451,0.000102038],"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":[0.00003577227,0.00004009562,0.0001071393,0.0009609582,0.00002415083,9.334809e-7,0.0001707543,0.002446465,0.995326,0.0003690668,0.00001612698,0.0005025291],"study_design_scores_gemma":[0.001478614,0.0001204295,0.0002416657,0.0004664284,0.00003653434,0.0001828229,0.0006494302,0.01048333,0.9851044,0.0000027991,0.0009202013,0.0003132876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883395,0.0027479,0.007138968,0.00004417776,0.0009494163,0.0004899343,0.00001180396,0.0002614786,0.00001679174],"genre_scores_gemma":[0.9983124,0.00005618258,0.001264654,0.00000113466,0.0002537671,0.00004423725,0.00001644316,0.00003335037,0.00001783268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01022155,"threshold_uncertainty_score":0.758089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01707627277613588,"score_gpt":0.2340352243755796,"score_spread":0.2169589515994437,"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."}}