{"id":"W7155512572","doi":"10.14447/jnmes/vol28i2.a11","title":"A surface-modified Ni (Fe-Cr-Mo) alloy as electrocatalyst for hydrogen production in alkaline or acid medium, pp. 217-225","year":2025,"lang":"","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad Autónoma del Estado de Hidalgo","keywords":"Electrocatalyst; Alloy; Hydrogen production; Nickel alloy; Hydrogen","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001060664,0.0002547262,0.0002416105,0.0001858534,0.0001071978,0.000215589,0.0003021717,0.0003173596,0.0004970772],"category_scores_gemma":[0.0001075815,0.0001782402,0.0002620221,0.0001917311,0.00009029124,0.0002009892,0.0001270538,0.0002501601,0.0003361526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001519703,"about_ca_system_score_gemma":0.00008458183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006058421,"about_ca_topic_score_gemma":0.002083719,"domain_scores_codex":[0.9998683,0.00001126139,0.00001055555,0.00002113782,0.00007240129,0.00001633688],"domain_scores_gemma":[0.9999686,0.000004950049,0.00000637324,0.000002911425,0.00001324841,0.000003959155],"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":[0.00002716596,0.00001134171,0.00006711507,0.00005566704,0.000005107479,0.0000346991,0.000004890141,0.00003976398,0.997442,0.00003027606,0.00003367691,0.002248287],"study_design_scores_gemma":[0.000001958489,0.00009831846,0.0008208218,0.000002142177,0.00001328662,0.0001080771,0.000008205524,0.0006681433,0.9967866,0.000008265632,0.001481683,0.000002565853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825963,0.006827577,0.00693809,0.00010219,0.0001240426,0.00004070102,0.0001338847,0.0001281276,0.003109058],"genre_scores_gemma":[0.985789,0.002023088,0.007253583,0.00004866331,0.00001561297,0.00001730974,0.0002183623,0.0000227025,0.004611644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006058421,"threshold_uncertainty_score":0.00166285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611103431927008,"score_gpt":0.2744591504691168,"score_spread":0.2583481161498468,"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."}}