{"id":"W4400079882","doi":"10.1016/j.ssc.2024.115616","title":"Tuning of structural, magnetic, and optical properties of ZnO nanoparticles by Co and Cu doping","year":2024,"lang":"en","type":"article","venue":"Solid State Communications","topic":"ZnO doping and properties","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"King Saud University","keywords":"Doping; Nanoparticle; Materials science; Nanotechnology; Chemical engineering; Optoelectronics","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":[0.00009518536,0.0001702663,0.0001091343,0.0001626226,0.0001756662,0.000355021,0.0002192973,0.0002038423,0.0005767148],"category_scores_gemma":[0.0002851333,0.0001320178,0.00008229201,0.000134799,0.0002023923,0.0001596095,0.0001064742,0.0001765275,0.0001105302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004059753,"about_ca_system_score_gemma":0.0001468692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001743248,"about_ca_topic_score_gemma":0.00281063,"domain_scores_codex":[0.9999099,0.000007904798,0.000004523522,0.00002642119,0.00002666663,0.00002455535],"domain_scores_gemma":[0.9998978,0.00002734603,0.0000253886,0.000008961019,0.00002396072,0.0000165032],"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":[0.000125745,0.00001221051,0.0002399922,0.00002403574,0.000002488378,0.00001856706,0.00001918016,0.0001298666,0.9974489,0.0002128621,0.00005851966,0.001707509],"study_design_scores_gemma":[0.00000583382,0.00002394196,0.0009477962,0.000001875755,0.000004209412,0.00001769552,0.00001684072,0.001939503,0.9965228,0.00003296975,0.0004840943,0.000002561031],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942495,0.0005132669,0.001806,0.00006075301,0.00003409587,0.000006818653,0.00005647465,0.00004713579,0.00322599],"genre_scores_gemma":[0.9988748,0.00009858327,0.0005650665,0.000007602281,0.000002918089,0.000003007766,0.00002034713,0.00001024826,0.0004174044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001743248,"threshold_uncertainty_score":0.003466249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0476591008000183,"score_gpt":0.3032168736291707,"score_spread":0.2555577728291524,"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."}}