{"id":"W4413803870","doi":"10.1016/j.microc.2025.115102","title":"Synthesis of CuxO nanoparticles using a customized 2-axial ultrasonic reaction chamber and their electrochemical sensing characteristics","year":2025,"lang":"en","type":"article","venue":"Microchemical Journal","topic":"Copper-based nanomaterials and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute for Information and Communications Technology Promotion; Chungnam National University; Ministry of Science and ICT, South Korea; National Research Foundation of Korea; Korea Basic Science Institute; Information Technology Research Centre","keywords":"Electrochemistry; Ultrasonic sensor; Nanoparticle; Materials science; Analytical Chemistry (journal); Nanotechnology; Chemistry; Electrode; Chromatography; Physical chemistry; Acoustics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002743631,0.0003085098,0.00022051,0.0001884247,0.0001519926,0.0002681153,0.0002902049,0.0004194101,0.0006415335],"category_scores_gemma":[0.0003854967,0.0002237754,0.0001700077,0.0001491323,0.0001720235,0.0002962117,0.0002085527,0.0002124603,0.0002660116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002713486,"about_ca_system_score_gemma":0.0001828289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006272439,"about_ca_topic_score_gemma":0.001051275,"domain_scores_codex":[0.9997917,0.00002144853,0.00002055017,0.00008128929,0.00005652465,0.00002854415],"domain_scores_gemma":[0.9998017,0.00003925321,0.00005317127,0.00002493169,0.00006117763,0.00001980076],"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":[0.00003120206,0.000005899386,0.00005499181,0.00003255787,0.000001658433,0.00002125448,0.00001692439,0.00003973128,0.9981245,0.00007729681,0.00004681752,0.001547173],"study_design_scores_gemma":[0.00000255302,0.00003512768,0.0003589785,0.000001033201,0.000003006274,0.00002995186,0.000007336345,0.0007946193,0.9981376,0.00001102265,0.0006155918,0.000003306888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677858,0.001186414,0.0273336,0.0001518669,0.00008709609,0.00008112228,0.0003004564,0.0004052383,0.002668383],"genre_scores_gemma":[0.9712642,0.0003347654,0.0250801,0.0000613108,0.00002167691,0.00009321778,0.0002077707,0.00005035441,0.002886626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006415335,"threshold_uncertainty_score":0.002146125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008964564359977696,"score_gpt":0.2415530223078436,"score_spread":0.232588457947866,"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."}}