{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001121616,0.0003157456,0.00017187,0.0001543722,0.000126032,0.0001967818,0.000332301,0.000373515,0.001104389],"category_scores_gemma":[0.0001289459,0.0001304807,0.0001762944,0.0001375638,0.0001227814,0.0002091639,0.0001921013,0.0002869181,0.0006065175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004203392,"about_ca_system_score_gemma":0.0002102394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003872183,"about_ca_topic_score_gemma":0.0006720152,"domain_scores_codex":[0.9999306,0.00001082455,0.000006574282,0.00001854228,0.00001758049,0.00001592135],"domain_scores_gemma":[0.9999396,0.00000743565,0.00001851562,0.000005185473,0.00001218222,0.00001717744],"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":[0.0000869795,0.00002447149,0.00007431269,0.00009890417,0.000006417659,0.00006330639,0.00002029052,0.0005719662,0.993919,0.0002530105,0.00008495927,0.004796426],"study_design_scores_gemma":[0.00001953726,0.0002504038,0.0003504972,0.000004881059,0.000009394508,0.0001101224,0.00001141531,0.002478693,0.9911001,0.00004770607,0.005608239,0.00000902791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513937,0.002141807,0.04076479,0.0002538777,0.00005806408,0.0003852238,0.0003539671,0.000373489,0.004275198],"genre_scores_gemma":[0.9488481,0.0008116705,0.04409803,0.0001596044,0.00002190313,0.0002752514,0.0003466841,0.00005447165,0.005384173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001104389,"threshold_uncertainty_score":0.003694534,"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."}}