{"id":"W2736047845","doi":"10.1002/cnma.201700154","title":"Self‐Assembly of Nucleobase, Nucleoside and Nucleotide Coordination Polymers: From Synthesis to Applications","year":2017,"lang":"en","type":"article","venue":"ChemNanoMat","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nucleobase; Materials science; Combinatorial chemistry; Nanotechnology; Polymer; Metal ions in aqueous solution; Coordination complex; Lanthanide; Self-healing hydrogels; Nucleotide; Biocompatibility; Polymerization; Metal; Chemistry; Polymer chemistry; Organic chemistry; Ion","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001281454,0.0002356006,0.0003799023,0.00005729021,0.0004706667,0.0001756756,0.0006881731,0.000192712,0.001235896],"category_scores_gemma":[0.0004241072,0.000243111,0.0001036544,0.00009672542,0.0001292533,0.0001991852,0.0002328611,0.0001198814,0.0001594463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005397916,"about_ca_system_score_gemma":0.00003588992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000224554,"about_ca_topic_score_gemma":0.00002310994,"domain_scores_codex":[0.9986018,0.00001250518,0.0004064601,0.000511712,0.0002121065,0.0002554022],"domain_scores_gemma":[0.99735,0.0004237605,0.0004069581,0.001515619,0.00008575713,0.0002178805],"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":[0.00001280533,0.0002426041,0.002052736,0.00014289,0.0001154761,0.000001093857,0.0001998785,5.80039e-7,0.9413174,0.00505888,0.001063304,0.04979239],"study_design_scores_gemma":[0.0001708131,0.000005636256,0.005987908,0.0001846131,0.0001557079,0.000002371329,0.0002657131,0.0002656113,0.9607731,0.0005616082,0.03132263,0.0003043374],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586365,0.0003391734,0.00136755,0.002873016,0.00004380784,0.0003126909,0.0002310778,0.0001875368,0.03600865],"genre_scores_gemma":[0.9864861,0.00008485204,0.01227525,0.00009340285,0.0001688817,0.0003089361,0.00001478008,0.00005858616,0.0005091921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04948805,"threshold_uncertainty_score":0.9996771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248326030214009,"score_gpt":0.2420882095714439,"score_spread":0.2296049492693039,"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."}}