{"id":"W4317934570","doi":"10.3390/chemosensors11020088","title":"The Effect of Counterions on the Detection of Cu2+ Ions in Aqueous Solutions Using Quartz Tuning Fork (QTF) Sensors Modified with L-Cysteine Self-Assembled Monolayers: Experimental and Quantum Chemical DFT Study","year":2023,"lang":"en","type":"article","venue":"Chemosensors","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Alliance de recherche numérique du Canada","keywords":"Chemistry; Aqueous solution; Counterion; Detection limit; Monolayer; Density functional theory; Ion; Cysteine; Metal ions in aqueous solution; Analytical Chemistry (journal); Copper; Inorganic chemistry; Molecule; Physical chemistry; Computational chemistry; Chromatography; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002166472,0.000190641,0.0002431825,0.0001328623,0.0002316231,0.0000236996,0.00009076025,0.00007296868,0.0000010591],"category_scores_gemma":[0.00004705977,0.0001198574,0.00006021715,0.0005265934,0.00005160818,0.00003840318,0.00003630115,0.0001991342,8.808822e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008450082,"about_ca_system_score_gemma":0.00001151388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001211934,"about_ca_topic_score_gemma":0.00004911848,"domain_scores_codex":[0.9990192,0.0001030655,0.0002671146,0.0001773241,0.0001838546,0.0002494442],"domain_scores_gemma":[0.9992648,0.0003169317,0.00006721519,0.0002851988,0.00002812513,0.00003769918],"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":[0.0001173732,0.0000372034,0.0003776502,0.00002989561,0.0001053666,0.000006333431,0.00115491,0.0267482,0.9712418,0.00004194858,0.000008626585,0.0001306463],"study_design_scores_gemma":[0.0007934974,0.0004446408,0.0007010448,0.00006298179,0.00005399983,0.00001733218,0.004529722,0.2994767,0.6937807,0.00000966232,0.000008343027,0.0001213658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987484,0.0001797618,0.0001907263,0.00002205994,0.0001097053,0.000586447,0.000003740223,0.0001199606,0.00003919965],"genre_scores_gemma":[0.9998387,0.00001643444,0.00003338624,0.00000181416,0.00001783027,0.00005294459,0.000001652262,0.00003451078,0.000002778074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2774611,"threshold_uncertainty_score":0.4887645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185068013314372,"score_gpt":0.2295583351357599,"score_spread":0.2177076550026162,"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."}}