{"id":"W4247194616","doi":"10.32920/ryerson.14660640.v1","title":"Analysis of Characteristics of the Zinc Oxide Material in Nanoscale","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Zinc; High-resolution transmission electron microscopy; Oxide; Aerospace; Fourier transform infrared spectroscopy; Materials science; Nanoscopic scale; Computer science; Nanotechnology; Chemical engineering; Engineering; Metallurgy; Transmission electron microscopy; Aerospace engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001205191,0.0001637035,0.000175553,0.0009581672,0.0002151161,0.0003952693,0.0002749072,0.0002681137,0.002462617],"category_scores_gemma":[0.000273496,0.0001549914,0.0001791878,0.0005225971,0.0001616213,0.0003211572,0.0001349983,0.0001924564,0.0004306567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002902281,"about_ca_system_score_gemma":0.0001374149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008655302,"about_ca_topic_score_gemma":0.001388869,"domain_scores_codex":[0.999863,0.000003276064,0.000003937693,0.00003237645,0.00008570029,0.00001167209],"domain_scores_gemma":[0.9997976,0.00004556448,0.00005111981,0.00001261562,0.00008193203,0.00001119265],"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":[0.00007854021,0.00001215271,0.00205473,0.0001749215,0.00000712711,0.0001432426,0.0000645317,0.0003944712,0.9868283,0.000358377,0.0003033141,0.009580181],"study_design_scores_gemma":[0.000008131792,0.0001555594,0.03580577,0.00002307549,0.00003312101,0.0005763908,0.0002111031,0.004198088,0.9497719,0.0003039887,0.008890552,0.0000222212],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569809,0.002279873,0.02419742,0.0001221243,0.00006765183,0.00005002077,0.00180351,0.0004709575,0.01402748],"genre_scores_gemma":[0.9828053,0.0007392432,0.009074426,0.00003193475,0.00001363924,0.00003154509,0.000822418,0.00009862133,0.006383018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002462617,"threshold_uncertainty_score":0.008238316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368992674617485,"score_gpt":0.2210254014831417,"score_spread":0.2073354747369669,"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."}}