{"id":"W2911942693","doi":"10.1021/acsomega.8b03266","title":"Design and Synthesis of Hybrid PEGylated Metal Monopicolinate Cyclam Ligands for Biomedical Applications","year":2019,"lang":"en","type":"article","venue":"ACS Omega","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Société d'Accélération du Transfert de Technologies; Centre National de la Recherche Scientifique; Université Paris 13; Ministero della Salute","keywords":"Cyclam; Nanomaterials; Chelation; Copper; Colloidal gold; Nanoparticle; Dynamic light scattering; Nanotechnology; Raman spectroscopy; Chemistry; Metal; Raman scattering; Metal ions in aqueous solution; Materials science; Chemical engineering; Nuclear chemistry; Combinatorial chemistry; Inorganic 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001584751,0.0001000696,0.000178945,0.00005656479,0.00003782522,0.000007662547,0.00009760784,0.00008123728,2.671426e-7],"category_scores_gemma":[0.00006177468,0.00008360791,0.00005626893,0.00010625,0.00009013628,0.000003017997,0.0000483572,0.00003519028,0.000001102524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004881983,"about_ca_system_score_gemma":0.00002538922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001917147,"about_ca_topic_score_gemma":3.41174e-7,"domain_scores_codex":[0.9993678,0.00001296172,0.0001706508,0.0002512586,0.00006780677,0.0001295487],"domain_scores_gemma":[0.9994828,0.00005104313,0.00008619069,0.0002369902,0.00009858708,0.00004435544],"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":[0.00004979785,0.00006111919,0.00007779906,0.00002322854,0.00008477456,3.131443e-7,0.000002946278,0.000004143444,0.9919367,0.00004722979,0.0001646301,0.007547304],"study_design_scores_gemma":[0.0002153292,0.00021798,0.00005441264,0.000009784646,0.00006898827,0.000008335139,0.00001047076,0.0004750362,0.9932505,0.0003022474,0.005277943,0.0001089282],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9377285,0.0002085176,0.06138473,0.0001275559,0.00001635012,0.0004215696,0.00003226801,0.00002444464,0.00005601483],"genre_scores_gemma":[0.9822053,0.0002028674,0.01715294,0.0000456007,0.00003912301,0.00007255241,0.00007077081,0.00001279214,0.0001980114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0444768,"threshold_uncertainty_score":0.3409432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007925857646012622,"score_gpt":0.2594349453429993,"score_spread":0.2515090876969867,"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."}}