{"id":"W4366306175","doi":"10.1039/d3ta01522j","title":"Rapid synthesis of efficient Mo-based electrocatalyst for the hydrogen evolution reaction in alkaline seawater with 11.28% solar-to-hydrogen efficiency","year":2023,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Science Foundation of Shandong Province; Taishan Scholar Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Seawater; Electrocatalyst; Nanorod; Hydrogen; Materials science; Chemical engineering; Nanoparticle; Chemistry; Inorganic chemistry; Nanotechnology; Electrochemistry; Physical chemistry; Oceanography; Electrode; Organic chemistry","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":[0.0001163168,0.0002668313,0.0001961486,0.0001489166,0.0001217071,0.0001652291,0.0002508242,0.0002559305,0.0005076803],"category_scores_gemma":[0.00009736939,0.000175724,0.0001918499,0.0001090385,0.000108053,0.0002531651,0.0001988545,0.0003285658,0.0002228989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002012586,"about_ca_system_score_gemma":0.0002215391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006485305,"about_ca_topic_score_gemma":0.002434253,"domain_scores_codex":[0.9999337,0.000004588745,0.000006128192,0.0000159618,0.00002671166,0.00001293301],"domain_scores_gemma":[0.9999709,0.000004067097,0.000006983114,0.000004062964,0.000008404731,0.000005453589],"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":[0.000008460843,0.000004729332,0.00003803364,0.0000223364,0.000002339225,0.0000154713,0.000004638902,0.00004327024,0.9984636,0.00006152992,0.0000257904,0.001309758],"study_design_scores_gemma":[0.000001602747,0.00001819802,0.0002303225,5.621471e-7,0.000003064696,0.00002244388,0.000003152465,0.0005718616,0.9985098,0.000008407504,0.0006289523,0.000001665179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739574,0.001467637,0.02137534,0.0001473717,0.00006761296,0.00005433454,0.0002969321,0.0003245128,0.002308937],"genre_scores_gemma":[0.9740456,0.0007653755,0.0200048,0.00003643183,0.00000744258,0.00003394052,0.000261707,0.00004516687,0.004799463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006485305,"threshold_uncertainty_score":0.001698375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007511218434486343,"score_gpt":0.2116906198073537,"score_spread":0.2041794013728673,"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."}}