{"id":"W2774885406","doi":"10.1039/c7cc08190a","title":"“Bleaching” glycerol in a microfluidic fuel cell to produce high power density at minimal cost","year":2017,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Glycerol; Microfluidics; Power density; Fuel cells; Chemistry; Chemical engineering; Power (physics); Materials science; Nanotechnology; Organic chemistry; Engineering; Thermodynamics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001428457,0.0003830916,0.0001787709,0.0001889278,0.0002826319,0.000389761,0.0005267162,0.0003361547,0.001044823],"category_scores_gemma":[0.0001704562,0.0001443726,0.0001830457,0.0001527622,0.0002921372,0.0004481082,0.0003163603,0.0005373427,0.0004150055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005052318,"about_ca_system_score_gemma":0.0003310456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000929771,"about_ca_topic_score_gemma":0.002087844,"domain_scores_codex":[0.9999208,0.000006236132,0.000004969915,0.00002156068,0.00002496992,0.00002148524],"domain_scores_gemma":[0.9999434,0.00001230324,0.00002030098,0.000007888561,0.000008727096,0.00000744861],"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":[0.00008093903,0.00004476421,0.000190186,0.00009024925,0.000006109828,0.0001077851,0.00002644907,0.00109656,0.9836683,0.002300407,0.0005109307,0.01187739],"study_design_scores_gemma":[0.000005295009,0.0000459084,0.00007678026,0.000005041948,0.000005051877,0.00003905436,0.000007671105,0.003531257,0.9942778,0.0001486323,0.001850612,0.00000677539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8908924,0.002305981,0.09430996,0.001845503,0.0006439812,0.0001576017,0.0003264679,0.001453868,0.00806421],"genre_scores_gemma":[0.9461327,0.001218447,0.04625872,0.0003898922,0.00004605693,0.00005340334,0.0001312793,0.00007395492,0.005695666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001044823,"threshold_uncertainty_score":0.003665805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636216257420683,"score_gpt":0.2416158860862476,"score_spread":0.2252537235120408,"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."}}