{"id":"W2275868613","doi":"10.1016/j.bioelechem.2016.01.003","title":"Increased performance of hydrogen production in microbial electrolysis cells under alkaline conditions","year":2016,"lang":"en","type":"article","venue":"Bioelectrochemistry","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministerio de Economía y Competitividad; FPInnovations; Generalitat de Catalunya","keywords":"Electrolysis; Hydrogen production; Chemistry; Microbial fuel cell; Alkaline water electrolysis; Biofilm; Anode; Hydrogen; Anaerobic exercise; Microbial electrolysis cell; Electrode; Bacteria; Biology; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000132489,0.0001126028,0.0001200033,0.00003255769,0.00003918291,0.000003801229,0.0001277444,0.00008998803,0.001264634],"category_scores_gemma":[0.00001615588,0.00008772425,0.00004696349,0.0002782519,0.0001155551,0.00009252512,0.0000341034,0.00006339614,0.0001022464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002001366,"about_ca_system_score_gemma":0.00002821882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009007747,"about_ca_topic_score_gemma":0.00007093928,"domain_scores_codex":[0.9991026,0.00002053593,0.0002252582,0.0002712558,0.0001329037,0.0002474687],"domain_scores_gemma":[0.999648,0.00001390788,0.0001079069,0.0001716092,0.00001305478,0.00004554884],"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":[0.00004776689,0.00009028257,0.004693805,0.00001610194,0.000006581556,3.316556e-7,0.00001058494,0.00002302114,0.9940345,9.828965e-7,0.0008032747,0.0002727176],"study_design_scores_gemma":[0.0003094,0.0000598034,0.003038739,0.00001832342,0.00001226567,0.000005751311,0.0000037247,0.00002830318,0.9960164,0.00003067095,0.0003517768,0.0001247919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991671,0.0000188964,0.00002020835,0.0001960835,0.00003072893,0.0001087236,0.00001420909,0.00001770169,0.0004262868],"genre_scores_gemma":[0.9990366,0.0001261361,0.00008691085,0.00004682412,0.00007734196,0.000009187809,0.00004410082,0.000008974312,0.0005639379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001981901,"threshold_uncertainty_score":0.9996483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004066426959779853,"score_gpt":0.185318582625098,"score_spread":0.1812521556653182,"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."}}