{"id":"W2605497120","doi":"10.1002/ente.201700108","title":"Self‐Supported Cobalt Nickel Nitride Nanowires Electrode for Overall Electrochemical Water Splitting","year":2017,"lang":"en","type":"article","venue":"Energy Technology","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Oxygen evolution; Overpotential; Water splitting; Tafel equation; Materials science; Nanowire; Electrochemistry; Chemical engineering; Cobalt; Electrode; Nickel; Catalysis; Bifunctional; Inorganic chemistry; Nanotechnology; Chemistry; Metallurgy; Physical 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003154569,0.0005304771,0.0006319039,0.0004930211,0.0009821288,0.0001060654,0.001679977,0.0009378559,0.00008958366],"category_scores_gemma":[0.000423935,0.0004663173,0.0002829441,0.000180105,0.0002619119,0.0003055258,0.0004552501,0.0004736132,0.00007635651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000459201,"about_ca_system_score_gemma":0.0001716175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007588846,"about_ca_topic_score_gemma":0.0007556286,"domain_scores_codex":[0.9962514,0.0000408364,0.0005770305,0.001002447,0.0003593857,0.001768873],"domain_scores_gemma":[0.9973246,0.00008755391,0.0003368763,0.001775102,0.0003222977,0.0001535315],"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":[0.0001506968,0.00009741321,0.0002280907,0.0000228583,0.0002364392,0.00002469712,0.00001985033,0.00001303452,0.7340939,0.2589747,0.001316574,0.004821751],"study_design_scores_gemma":[0.001186005,0.0002621731,0.00001372921,0.00001466061,0.0000738479,0.00007577739,0.000008602899,0.001038831,0.7172425,0.03462534,0.2450228,0.0004356875],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711002,0.000480192,0.004969856,0.005501152,0.0005078013,0.000277541,0.000003409199,0.002448047,0.01471184],"genre_scores_gemma":[0.9886023,0.0001456651,0.004283861,0.0004115828,0.0003428049,0.0002435769,0.0002413003,0.0001477216,0.005581233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2437063,"threshold_uncertainty_score":0.9997789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006117700788541666,"score_gpt":0.2275640086485178,"score_spread":0.2214463078599762,"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."}}