{"id":"W4412954837","doi":"10.3390/chemosensors13080289","title":"Optimized SILAR Growth of Vertically Aligned ZnO Nanorods for Low-Temperature Acetone Detection","year":2025,"lang":"en","type":"article","venue":"Chemosensors","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Academia Oamenilor de Știință din România; Agence Universitaire de la Francophonie","keywords":"Nanorod; Materials science; Acetone; Nanotechnology; Chemical engineering; Optoelectronics; Chemistry; Organic chemistry","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":[0.0001267492,0.0005401454,0.0002641807,0.0001857039,0.0001265486,0.0002215296,0.0002717348,0.0003023164,0.0004465507],"category_scores_gemma":[0.000226938,0.0002957797,0.0002056443,0.0001727204,0.0001469527,0.0002322052,0.0001440986,0.0003775235,0.0002192432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003215156,"about_ca_system_score_gemma":0.0002218985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001398555,"about_ca_topic_score_gemma":0.005179202,"domain_scores_codex":[0.9998381,0.000008968923,0.0000184304,0.00005486105,0.00005296893,0.00002667255],"domain_scores_gemma":[0.9998821,0.00001968556,0.00004348774,0.000009688725,0.00003252438,0.00001252248],"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":[0.000007035571,0.000005160827,0.0000438684,0.00001848486,0.000001345716,0.00001124564,0.000004413198,0.0001026545,0.9993736,0.0000241228,0.00001569584,0.0003923691],"study_design_scores_gemma":[0.000008594502,0.00004106128,0.0007601853,0.000001997,0.000003811929,0.00002424287,0.000007121512,0.002307276,0.9963416,0.00001611239,0.0004837327,0.000004220471],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719802,0.001021418,0.02399442,0.00008907693,0.0001179703,0.0001226478,0.000629054,0.000289627,0.001755658],"genre_scores_gemma":[0.9442504,0.0007017999,0.05350438,0.00004604067,0.00001581683,0.0001071364,0.000429178,0.00008832559,0.0008569341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001398555,"threshold_uncertainty_score":0.002780855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003775754126114811,"score_gpt":0.198866563048992,"score_spread":0.1950908089228772,"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."}}