{"id":"W4254245493","doi":"10.1007/s12678-013-0172-z","title":"Electrochemical Growth of Surface Oxides on Nickel. Part 2: Formation of β-Ni(OH)2 and NiO in Relation to the Polarization Potential, Polarization Time, and Temperature","year":2013,"lang":"en","type":"article","venue":"Electrocatalysis","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":98,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Kuwait University","keywords":"Non-blocking I/O; X-ray photoelectron spectroscopy; Oxide; Nickel oxide; Nickel; Polarization (electrochemistry); Metal; Materials science; Electrochemistry; Analytical Chemistry (journal); Inorganic chemistry; Chemistry; Chemical engineering; Physical chemistry; Electrode; Catalysis; Metallurgy","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":[0.0001411597,0.0003640557,0.0002997058,0.000296079,0.0002246028,0.0002049653,0.0003854818,0.000284519,0.001145687],"category_scores_gemma":[0.0003573547,0.0002530767,0.0002238204,0.0002694247,0.0002408203,0.0003768387,0.0002014395,0.0003204091,0.0002944177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004153247,"about_ca_system_score_gemma":0.0001739426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001836786,"about_ca_topic_score_gemma":0.003247622,"domain_scores_codex":[0.9998927,0.00001412394,0.000009897595,0.00002633405,0.0000358532,0.00002099189],"domain_scores_gemma":[0.9999026,0.00005006738,0.00001290634,0.00001047606,0.00001501599,0.00000895083],"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":[0.0001307675,0.0000272755,0.0001760004,0.0001172573,0.000006211985,0.00003598413,0.00004414358,0.0001838806,0.9957242,0.0001104944,0.0001480272,0.003295701],"study_design_scores_gemma":[0.000007467442,0.0000879381,0.002695645,0.000006432409,0.000007256727,0.00008568387,0.00002963317,0.000707393,0.9949463,0.00007080122,0.001350567,0.000004933292],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804464,0.008409327,0.00394155,0.0001845975,0.0001361045,0.00008937968,0.0008563324,0.0001104808,0.005825862],"genre_scores_gemma":[0.9850932,0.004929615,0.002733898,0.00007652694,0.00004117247,0.00007677277,0.001128863,0.00004730415,0.005872414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001836786,"threshold_uncertainty_score":0.003832698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00262002542190313,"score_gpt":0.1755480385226361,"score_spread":0.1729280131007329,"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."}}