{"id":"W3022024118","doi":"10.1007/s10800-020-01429-w","title":"Synergistic effects between electrocatalyst and electrolyte in the electrocatalytic reduction of lignin model compounds in a stirred slurry reactor","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Electrochemistry","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Science and Engineering Research Council; Korea Institute of Science and Technology","keywords":"Chemistry; Guaiacol; Inorganic chemistry; Electrocatalyst; Catalysis; Electrochemistry; Cyclohexanol; Electrolyte; Cyclohexanone; Phosphoric acid; Electrolysis; Organic chemistry; Electrode","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003899302,0.000297405,0.0006814742,0.0002418559,0.00003106234,0.00003067833,0.0004225801,0.0001814434,6.866037e-7],"category_scores_gemma":[0.00006094315,0.0002686123,0.0001253225,0.0009753083,0.0000635069,0.0001331617,0.0000309042,0.0008953163,0.000001113466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002848697,"about_ca_system_score_gemma":0.0001361922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004064969,"about_ca_topic_score_gemma":0.000003592164,"domain_scores_codex":[0.9980522,0.00002412646,0.0007945888,0.0002555955,0.0004165574,0.0004568828],"domain_scores_gemma":[0.9991302,0.0001615082,0.0003035132,0.0002222317,0.00005437482,0.0001281672],"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":[0.0002701867,0.00004385487,0.00008571781,0.000363583,0.0001224471,0.00001295672,0.0005470095,0.0005996129,0.9966403,0.0000347951,0.000836049,0.0004435175],"study_design_scores_gemma":[0.001120283,0.0001944514,0.0001753161,0.00006386944,0.000170254,0.00005613417,0.0001373878,0.01237588,0.9850072,0.0004521587,0.00002234545,0.00022476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975894,0.0008240548,0.0005934687,0.0002068355,0.00001702324,0.0001971018,0.00000253889,0.00003107924,0.0005384812],"genre_scores_gemma":[0.9993426,0.0001426254,0.0002083434,0.00003512,0.000175288,0.00001289452,0.00004129161,0.00003959393,0.000002277436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01177627,"threshold_uncertainty_score":0.9999766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005897684481897977,"score_gpt":0.1910547096397537,"score_spread":0.1851570251578558,"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."}}