{"id":"W2989053737","doi":"10.1039/c9ra07388d","title":"Surface-assembled non-noble metal nanoscale Ni-colloidal thin-films as efficient electrocatalysts for water oxidation","year":2019,"lang":"en","type":"article","venue":"RSC Advances","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia; University of Engineering and Technology, Lahore","keywords":"Nanoscopic scale; Noble metal; Materials science; Colloid; Nanotechnology; Metal; Chemical engineering; Thin film; Metallurgy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004433305,0.0004220631,0.0005225025,0.000159728,0.0002634741,0.00006810506,0.0004669738,0.0001998389,0.0002926099],"category_scores_gemma":[0.00004915053,0.0003312895,0.0002599968,0.0003539581,0.00003705029,0.0006737536,0.0001087543,0.0001879663,0.001511294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002583705,"about_ca_system_score_gemma":0.0001130981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004676259,"about_ca_topic_score_gemma":0.0004199634,"domain_scores_codex":[0.9970359,0.00005987936,0.000464278,0.0008111813,0.000663364,0.0009654557],"domain_scores_gemma":[0.9986976,0.0001280985,0.0001857473,0.0005916593,0.000256122,0.0001408072],"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":[0.0002963579,0.0001233434,0.0001423386,0.00007495552,0.000108544,0.000002800503,0.0001817527,0.05234207,0.9437104,0.002252127,0.0002314828,0.0005338505],"study_design_scores_gemma":[0.001624267,0.0004931538,0.0000285496,0.00002961583,0.0000867975,0.00001329056,0.0001222213,0.007728064,0.9540237,0.0009082043,0.03445795,0.0004842177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884645,0.0005753447,0.001163537,0.0001648189,0.0009743096,0.0007024573,0.000002399401,0.0002310074,0.007721623],"genre_scores_gemma":[0.9849799,0.00005852867,0.001550004,0.0001294784,0.0001056697,0.00008881847,0.000366272,0.00009076468,0.01263058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04461401,"threshold_uncertainty_score":0.9999139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005328886607848055,"score_gpt":0.2311966551643805,"score_spread":0.2258677685565324,"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."}}