{"id":"W2739547297","doi":"10.14447/jnmes.v20i2.305","title":"Investigations of Electro-hydrothermally Grown ZnO Nanostructures on Copper Grids","year":2017,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"ZnO doping and properties","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nanorod; Nanostructure; Copper; Materials science; Nanotechnology; Layer (electronics); Hydrothermal circulation; Chemical engineering; Metallurgy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000768636,0.0002081906,0.000638505,0.00007781028,0.000241899,0.0003322845,0.0007315769,0.0001571726,0.00007784793],"category_scores_gemma":[0.0007615917,0.0001304315,0.0001391169,0.00003470323,0.0001398446,0.0002484332,0.00003715314,0.0001192851,0.00001063164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009515124,"about_ca_system_score_gemma":0.0003163322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001285302,"about_ca_topic_score_gemma":0.000002197419,"domain_scores_codex":[0.9980063,0.00009299059,0.0008753013,0.0001866145,0.0004682237,0.0003706027],"domain_scores_gemma":[0.9976776,0.00009252853,0.001351939,0.0003628415,0.0003513934,0.0001637492],"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":[0.0005344531,0.00002546393,0.00004407625,0.0001553017,0.00004164264,0.000001443638,0.00009909949,0.00007388357,0.9897521,0.001102479,0.008141303,0.00002873325],"study_design_scores_gemma":[0.0007187867,0.0008550145,0.0001336972,0.0003734609,0.00004630965,0.0001210357,0.00001042244,0.00002329443,0.9908299,0.002323851,0.004401936,0.0001623264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967439,0.0002893122,0.0001695327,0.0007714879,0.001469755,0.0002836824,0.00002847956,0.00001980455,0.0002240259],"genre_scores_gemma":[0.9976726,0.00002707755,0.0003334581,0.00008767422,0.001418871,0.00001311089,0.000003903061,0.00003089346,0.0004124814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003739367,"threshold_uncertainty_score":0.5318844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02675664101627902,"score_gpt":0.2719428433254903,"score_spread":0.2451862023092113,"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."}}