{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009642636,0.0003409754,0.0001844246,0.0002923702,0.0000803917,0.0002849083,0.0001990373,0.0002272719,0.0007472208],"category_scores_gemma":[0.0001059485,0.0001547164,0.0001405215,0.0002936574,0.0001026387,0.0003285244,0.0001803804,0.0002648257,0.0004042723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002969076,"about_ca_system_score_gemma":0.0001860944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002313211,"about_ca_topic_score_gemma":0.0005290845,"domain_scores_codex":[0.9999526,0.000005315898,0.000003924036,0.00001815964,0.00001238415,0.000007684333],"domain_scores_gemma":[0.9999721,0.000006879254,0.000008255522,0.00000159229,0.000006257088,0.000004953806],"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":[0.0000728555,0.0000659372,0.0002324372,0.002711176,0.0000396777,0.0002922904,0.0001024037,0.001202506,0.7741361,0.007761956,0.001606867,0.2117758],"study_design_scores_gemma":[0.00001719715,0.0004431847,0.0008733674,0.0002066614,0.00006334246,0.0008993208,0.00003474285,0.002055376,0.762881,0.001231974,0.2312676,0.00002628161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1911058,0.7492212,0.02710702,0.000577088,0.0004421581,0.0001246092,0.0002092388,0.0003274185,0.03088542],"genre_scores_gemma":[0.5243363,0.4287226,0.02674663,0.0003034441,0.0002600619,0.0001176591,0.0002376091,0.00005959752,0.01921603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007472208,"threshold_uncertainty_score":0.002499759,"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."}}