{"id":"W4412902572","doi":"10.3390/molecules30153228","title":"Enhanced NiFe2O4 Catalyst Performance and Stability in Anion Exchange Membrane Water Electrolysis: Influence of Iron Content and Membrane Selection","year":2025,"lang":"en","type":"article","venue":"Molecules","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Linear sweep voltammetry; Electrolysis; Catalysis; Chemistry; Membrane; Chronoamperometry; Inorganic chemistry; Hydrogen production; Cyclic voltammetry; Chemical engineering; Electrochemistry; Electrode; Electrolyte; Organic chemistry; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005525545,0.0004731955,0.0004620538,0.0002986664,0.0002548688,0.0005147387,0.0003938548,0.0005972502,0.0004046192],"category_scores_gemma":[0.000920507,0.0002549527,0.0002699037,0.0003063123,0.0001846479,0.0005674114,0.0002439389,0.0003884086,0.0001830422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003015964,"about_ca_system_score_gemma":0.0001947067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001156363,"about_ca_topic_score_gemma":0.00134931,"domain_scores_codex":[0.9996185,0.00006301634,0.00005064486,0.00009058695,0.0001067975,0.00007043107],"domain_scores_gemma":[0.9997326,0.00008343068,0.00004855959,0.0000173867,0.00008927831,0.00002889274],"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":[0.00006440405,0.00001413692,0.0001427118,0.00002962995,0.000004995464,0.00002161015,0.00001524586,0.00004496033,0.9987129,0.00001130434,0.0000116449,0.0009263873],"study_design_scores_gemma":[0.000003317898,0.00006361489,0.0006752897,0.000001889022,0.000009043702,0.00003255753,0.000009730126,0.0003658865,0.9985511,0.000005436236,0.0002787768,0.000003338714],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962704,0.001225738,0.001881631,0.00005736204,0.00002307124,0.00001376139,0.00009262521,0.00004627276,0.0003891501],"genre_scores_gemma":[0.9952036,0.0007663102,0.003059435,0.00002362975,0.00001143556,0.00002222432,0.0001571894,0.00002122231,0.0007349046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001156363,"threshold_uncertainty_score":0.002922177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006469669192876278,"score_gpt":0.1989975260051376,"score_spread":0.1925278568122613,"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."}}