{"id":"W1970461176","doi":"10.1139/v04-019","title":"Experimental and computational investigation of the electrocatalytic hydrogenation of phenol in an electrochemical cell","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Porosity; Electrode; Chemistry; Catalysis; Phenol; Electrochemistry; Chemical engineering; Polarization (electrochemistry); Graphite; Fluidized bed; Composite material; Materials science; Organic chemistry; Physical chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003278286,0.0004236079,0.001331851,0.0003537587,0.0008025121,0.0008065631,0.00145772,0.001543371,0.004603262],"category_scores_gemma":[0.0006030116,0.0003344485,0.0005714333,0.0009340281,0.0006224224,0.0007532767,0.0003757711,0.0007377241,0.0002556567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000686662,"about_ca_system_score_gemma":0.000573991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006274194,"about_ca_topic_score_gemma":0.003292134,"domain_scores_codex":[0.9997908,0.00001836876,0.00001405122,0.0000589149,0.00007569585,0.00004211755],"domain_scores_gemma":[0.999653,0.0001872766,0.00002259102,0.00003703367,0.00007915359,0.0000209245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008067311,0.0005755213,0.007839748,0.001289072,0.00008804333,0.00181286,0.000250585,0.7940381,0.1754159,0.00444153,0.001249945,0.01219183],"study_design_scores_gemma":[0.0001017308,0.0004121123,0.004051168,0.00001759984,0.00002929279,0.0001087471,0.0001570785,0.925858,0.06701452,0.0007983106,0.001405749,0.00004566427],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804904,0.0003555507,0.008301917,0.0002069306,0.00005100356,0.00005916043,0.002050697,0.0001705997,0.008313765],"genre_scores_gemma":[0.9933908,0.0001914624,0.004819672,0.00002451097,0.000006930696,0.00009414404,0.0004585358,0.00001351282,0.001000452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006274194,"threshold_uncertainty_score":0.01539946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00425398577180853,"score_gpt":0.1739189875139344,"score_spread":0.1696650017421259,"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."}}