{"id":"W4406174098","doi":"10.2139/ssrn.5087330","title":"Ternary Ceo2-Cuo@Graphene Oxide Nanocomposites for Sensing L-Tyrosine: Experimental and Density Functional Theory Studies","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Graphene; Nanocomposite; Materials science; Ternary operation; Oxide; Cerium oxide; Density functional theory; Hydrogen bond; Inorganic chemistry; Chemical engineering; Molecule; Nanotechnology; Chemistry; Organic chemistry; Computational chemistry","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":[0.0002573573,0.0002622946,0.000307422,0.0002064022,0.0002451018,0.0003018965,0.0004382235,0.0004029566,0.0006593827],"category_scores_gemma":[0.0005786207,0.0001989221,0.0001615723,0.0002552472,0.0002906875,0.0002970769,0.000218048,0.0004602589,0.0001102196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003762749,"about_ca_system_score_gemma":0.0001618712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002110772,"about_ca_topic_score_gemma":0.004734976,"domain_scores_codex":[0.9998217,0.0000217792,0.000009904276,0.00004389711,0.00006764376,0.00003500681],"domain_scores_gemma":[0.9998281,0.00007040493,0.00003282284,0.00001476914,0.00003745952,0.00001654589],"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":[0.0001789236,0.00003844364,0.0001699186,0.0000867151,0.000009375632,0.0000320507,0.00003108016,0.000275683,0.9976071,0.000185994,0.00006140125,0.001323321],"study_design_scores_gemma":[0.00000938874,0.0000726388,0.0008205599,0.000002642867,0.00001326898,0.00002506452,0.0000211613,0.00279184,0.995956,0.00002943857,0.0002514126,0.000006551761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972145,0.0005453253,0.001375878,0.00004127424,0.00001740152,0.000007346124,0.00007165124,0.00002206857,0.0007045385],"genre_scores_gemma":[0.9982723,0.0001749206,0.00107815,0.00001253554,0.00000479028,0.000006136739,0.00004981638,0.000005784058,0.0003956692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002110772,"threshold_uncertainty_score":0.004197001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020645697562207,"score_gpt":0.2412649994185962,"score_spread":0.2310585424429741,"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."}}