{"id":"W2264911911","doi":"10.1007/s10800-016-0943-3","title":"On the use of atomic force microscopy and scaling analysis to quantify the roughness of zinc electrodeposits produced from an industrial acid sulfate electrolyte containing glue","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Electrochemistry","topic":"Electrodeposition and Electroless Coatings","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Teck (Canada); Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Zinc; GLUE; Electrolyte; Electrochemistry; Atomic force microscopy; Surface finish; Scaling; Electroplating; Materials science; Chemistry; Surface roughness; Nanotechnology; Inorganic chemistry; Chemical engineering; Metallurgy; Composite material; Electrode; Physical chemistry; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005855755,0.0003514114,0.0007272908,0.0001952714,0.0001449866,0.00009101045,0.0005051977,0.0002066526,0.000009864642],"category_scores_gemma":[0.0001282043,0.0002122669,0.0002087978,0.0008393484,0.00008056464,0.0001693998,0.00003539061,0.0007256634,6.853012e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001676691,"about_ca_system_score_gemma":0.000134329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001856521,"about_ca_topic_score_gemma":0.00001606735,"domain_scores_codex":[0.9976299,0.00007553661,0.000931771,0.0003261159,0.0004483396,0.0005883634],"domain_scores_gemma":[0.998031,0.0004987383,0.0006285523,0.0004593262,0.0002308395,0.0001514954],"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":[0.002032863,0.00004496731,0.0002189707,0.00001742684,0.001009361,0.000001692575,0.0003138272,0.001422644,0.992798,0.000519729,0.00008130855,0.001539153],"study_design_scores_gemma":[0.0009857602,0.0004118383,0.0002687646,0.0001030567,0.0005225445,0.0000243187,0.00003833495,0.001228687,0.9955895,0.0005668797,0.00001919641,0.0002411037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868625,0.0002269811,0.01207556,0.0004805405,0.00003036668,0.0002329125,0.00001196758,0.0000375856,0.00004157751],"genre_scores_gemma":[0.9990405,0.0001065954,0.0003920545,0.0001781041,0.0001916042,0.00001788753,0.000008828046,0.00005300175,0.00001146087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01217795,"threshold_uncertainty_score":0.8655992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636204080592337,"score_gpt":0.233983907638579,"score_spread":0.2176218668326556,"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."}}