{"id":"W2055935592","doi":"10.1016/j.matlet.2012.09.021","title":"Shape controllable preparation and characterization of submicron lamellar and rod clusters of zinc oxide via conventional and microwave accelerated reaction methods","year":2012,"lang":"en","type":"article","venue":"Materials Letters","topic":"ZnO doping and properties","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences North; Science North","funders":"National Plan for Science, Technology and Innovation","keywords":"Lamellar structure; Zinc; Materials science; Zinc nitrate; Sodium hydroxide; Zinc hydroxide; Hydroxide; Microwave; Scanning electron microscope; Sodium nitrate; Characterization (materials science); Inorganic chemistry; Chemical engineering; Oxide; Nuclear chemistry; Nanotechnology; Chemistry; Metallurgy; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009439584,0.0001278597,0.0003014356,0.00006581773,0.00006843058,0.00007461849,0.00004180882,0.00007568716,0.00006597694],"category_scores_gemma":[0.00002762278,0.0001143079,0.00001464731,0.00004382599,0.0001465593,0.0004535826,0.00004860932,0.00002726596,0.000002623748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001705456,"about_ca_system_score_gemma":0.000009381722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001177017,"about_ca_topic_score_gemma":0.000001917326,"domain_scores_codex":[0.998835,0.0003305927,0.0003804733,0.000186852,0.00009564758,0.00017147],"domain_scores_gemma":[0.9994255,0.00005086207,0.0003204783,0.0000996575,0.00005968848,0.00004379238],"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":[0.0003657237,0.00001827813,0.0008061724,0.000207911,0.00001641902,1.504779e-7,0.0004653635,0.000003375299,0.9978141,0.00002834529,0.00002311874,0.000251024],"study_design_scores_gemma":[0.0005285353,0.00005297887,0.01930978,0.0000493435,0.00004101919,0.00001571947,0.00002921139,0.0002584828,0.9793971,0.00001631991,0.0001885503,0.0001129099],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974864,0.0001706387,0.001400902,0.0002877664,0.000332848,0.0002553056,0.00003503769,0.00002133744,0.00000980867],"genre_scores_gemma":[0.9965816,0.00007151734,0.002957701,0.0002146897,0.00006365107,0.00001277187,0.00006121745,0.00001318279,0.00002373743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01850361,"threshold_uncertainty_score":0.466134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400520686448337,"score_gpt":0.2731739895136116,"score_spread":0.2491687826491282,"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."}}