{"id":"W1872254762","doi":"10.1002/cjce.22378","title":"Numerical simulation of hydrogen bubble growth at an electrode surface","year":2015,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Heat Transfer and Boiling Studies","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Bubble; Mass transfer; Volume of fluid method; Supersaturation; Mass transfer coefficient; Sparging; Nucleation; Hydrogen; Chemistry; Sherwood number; Bubble point; Liquid bubble; Thermodynamics; Analytical Chemistry (journal); Materials science; Mechanics; Flow (mathematics); Chromatography; Turbulence; Physical chemistry; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002144098,0.0001065879,0.0002008126,0.00005124416,0.00002643518,0.00001126209,0.0001698961,0.00005641633,0.000006233888],"category_scores_gemma":[0.00008958018,0.00008537005,0.00005999275,0.0001479192,0.00002720711,0.0000876012,0.000004111081,0.0002141351,0.000002101364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002586407,"about_ca_system_score_gemma":0.0001132013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004260517,"about_ca_topic_score_gemma":0.0001076695,"domain_scores_codex":[0.999283,0.000009612958,0.0002520678,0.00005104017,0.0001574717,0.0002468294],"domain_scores_gemma":[0.9993226,0.00005968131,0.00001688967,0.00008981088,0.000115488,0.0003955292],"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":[0.00000621319,0.000002663548,0.0002284245,0.0000205067,0.00004264065,0.000006131578,0.0005119102,0.9242421,0.07479797,0.00003349147,0.00006556459,0.00004236335],"study_design_scores_gemma":[0.0002652654,0.00005150853,0.00006502592,0.00003314098,0.00003270372,0.0000495109,0.00001050408,0.4943322,0.5045756,0.0001149576,0.0003321158,0.0001375644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960561,0.0006882079,0.002830324,0.00009887203,0.000109033,0.00003344376,0.0000034032,0.00002539186,0.0001551707],"genre_scores_gemma":[0.999582,0.000003278662,0.0002546037,0.00001087159,0.0001192096,3.791712e-7,0.000001399002,0.00002402851,0.000004224769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4299099,"threshold_uncertainty_score":0.3481289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504639699469858,"score_gpt":0.2061959531902994,"score_spread":0.1911495561956008,"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."}}