{"id":"W4413509471","doi":"10.1016/j.isci.2025.113436","title":"Hydrogen evolution reaction in high-entropy MXenes: Insights into atomic configurations","year":2025,"lang":"en","type":"article","venue":"iScience","topic":"MXene and MAX Phase Materials","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Alliance de recherche numérique du Canada; University of Toronto; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"MXenes; Astrobiology; Chemistry; Nanotechnology; Physics; Materials science","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":[0.0000999714,0.0001503663,0.00011766,0.0001665922,0.000202226,0.0002542865,0.0001907099,0.0002310575,0.001494141],"category_scores_gemma":[0.0001209336,0.00009191137,0.00008963599,0.00009147158,0.000176762,0.0003580808,0.0001415847,0.0001647125,0.00008867808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002757769,"about_ca_system_score_gemma":0.0001129033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004900065,"about_ca_topic_score_gemma":0.0009765094,"domain_scores_codex":[0.9999743,0.000002726745,0.000001248157,0.000003648816,0.00001025011,0.000007981675],"domain_scores_gemma":[0.9999679,0.00001395722,0.000005733114,0.000003884375,0.000005201365,0.00000329987],"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":[0.000419534,0.00007770137,0.004905572,0.0002359424,0.00003183212,0.0003705962,0.0001590228,0.0180246,0.9479911,0.0186646,0.0002238586,0.008895653],"study_design_scores_gemma":[0.0000443616,0.0004865931,0.009837777,0.00002249329,0.00003483065,0.0002145257,0.0003031611,0.1609194,0.8200726,0.005150669,0.002886588,0.00002696136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961838,0.0001190456,0.001582207,0.00002241784,0.000002680116,0.000005039232,0.0000628995,0.00001814656,0.002003735],"genre_scores_gemma":[0.9990683,0.00006183727,0.0005453959,0.000002864179,5.158805e-7,0.000004144487,0.00003840889,0.000003652143,0.0002748838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001494141,"threshold_uncertainty_score":0.004998386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063930806702961,"score_gpt":0.2637715239992632,"score_spread":0.2531322159322336,"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."}}