{"id":"W4416424139","doi":"10.1016/j.jcis.2025.139514","title":"Cobalt doping engineering of MoC–Mo2N heterostructures in porous carbon nanofibers for enhanced hydrogen evolution","year":2025,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Transition metal; Cobalt; Heterojunction; Carbide; Nitride; Carbon nitride; Nanofiber; Carbon nanofiber","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":[],"consensus_categories":[],"category_scores_codex":[0.0004447598,0.00009661727,0.0002231875,0.0004471379,0.00005101285,0.00002262923,0.0002614795,0.00004813774,0.000001318632],"category_scores_gemma":[0.0001654795,0.00008574488,0.00004677308,0.0005777424,0.0001084869,0.0002734785,0.00005409949,0.0000976899,5.472898e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003689484,"about_ca_system_score_gemma":0.000228652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001336652,"about_ca_topic_score_gemma":0.00009828959,"domain_scores_codex":[0.9990056,0.00001295301,0.0003692554,0.0001465029,0.0002505147,0.0002151565],"domain_scores_gemma":[0.9993659,0.00004746238,0.0002172335,0.00009567221,0.0002266761,0.00004711403],"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":[0.00009690136,0.000008609878,0.0001965035,0.00003483359,0.0000142807,2.455849e-7,0.0001802399,0.02298752,0.9749522,0.001230562,0.000006287663,0.0002918699],"study_design_scores_gemma":[0.0005554343,0.000226081,0.0005855194,0.0002380192,0.00001277277,0.00001388152,0.0001254742,0.007244206,0.9902676,0.0005375418,0.0001194256,0.00007405398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962864,0.0006999135,0.002011797,0.0000606477,0.0004050304,0.00007302711,3.733852e-7,0.000006354242,0.0004564864],"genre_scores_gemma":[0.9991475,0.00002941423,0.0006871311,0.000016477,0.0000180551,0.000001654719,1.533651e-7,0.00000514256,0.00009441507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01574332,"threshold_uncertainty_score":0.3496574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003190456881871711,"score_gpt":0.2292652752841862,"score_spread":0.2260748184023145,"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."}}