{"id":"W4404363470","doi":"10.1002/sus2.246","title":"In situ electrochemical synthesis of atomically dispersed metal sites for efficient hydrogen evolution reaction","year":2024,"lang":"en","type":"article","venue":"SusMat","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Canadian Light Source (Canada); University of Calgary; École de Technologie Supérieure; Institut National de la Recherche Scientifique","funders":"","keywords":"In situ; Electrochemistry; Materials science; Metal; Hydrogen; Nanotechnology; Chemical engineering; Chemistry; Electrode; Metallurgy; Physical chemistry; Organic chemistry; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001344601,0.0002816026,0.0001932323,0.0001522374,0.00008952528,0.0002716333,0.0004802693,0.0003643574,0.0008885674],"category_scores_gemma":[0.0002201389,0.0002437329,0.00009703376,0.0001414417,0.0001526664,0.0003461757,0.0002293101,0.0004823408,0.0003042505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001964241,"about_ca_system_score_gemma":0.00009222639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001858123,"about_ca_topic_score_gemma":0.0005140498,"domain_scores_codex":[0.9998746,0.00001571841,0.000009778265,0.00003657439,0.00004812434,0.00001514555],"domain_scores_gemma":[0.9999144,0.00002019409,0.00002507586,0.00001424032,0.00001487804,0.00001126331],"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":[0.00001004681,0.000008904086,0.00002622248,0.00003480975,0.000003053444,0.00001909213,0.000008157838,0.00006877012,0.9982748,0.0001181564,0.00003136466,0.001396714],"study_design_scores_gemma":[0.000004803462,0.00003171041,0.0001096002,0.000001097922,0.000003089687,0.00003577992,0.000005200854,0.0009941304,0.9978492,0.00002239755,0.0009411416,0.000001870863],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497507,0.002851213,0.03976877,0.0002638253,0.0001311552,0.00008290344,0.0003022858,0.0004055301,0.006443704],"genre_scores_gemma":[0.9831499,0.0006250308,0.01460114,0.00003333223,0.00001524425,0.00001846392,0.00007809864,0.00002394067,0.001454845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008885674,"threshold_uncertainty_score":0.002972543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005728375064628968,"score_gpt":0.222665877560676,"score_spread":0.216937502496047,"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."}}