{"id":"W4396799055","doi":"10.1038/s41467-024-47666-x","title":"Nested non-covalent interactions expand the functions of supramolecular polymer networks","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Supramolecular Chemistry and Complexes","field":"Chemistry","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Chemistry; Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Science Foundation","keywords":"Supramolecular chemistry; Covalent bond; Limiting; Ligand (biochemistry); Supramolecular polymers; Polymer; Materials science; Non-covalent interactions; Nanotechnology; Chemical physics; Chemistry; Molecule; Hydrogen bond; Receptor","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":[0.0001079596,0.0001692451,0.0001469822,0.00005355653,0.0003607619,0.00009781723,0.001102101,0.0002251099,0.0005392334],"category_scores_gemma":[0.00006909463,0.0001349903,0.0002318432,0.0005093605,0.0002425929,0.00009864775,0.0003334982,0.001530018,0.00002216098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004324375,"about_ca_system_score_gemma":0.00008523357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000381452,"about_ca_topic_score_gemma":0.00007406593,"domain_scores_codex":[0.9990686,0.0000533506,0.000294868,0.0002244391,0.0001751862,0.0001835638],"domain_scores_gemma":[0.9969366,0.0005297124,0.00007462144,0.002287708,0.0001136292,0.00005775132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004503099,0.0005881759,0.00116872,0.0002071901,0.001020971,0.00001639986,0.0009259989,0.0005079468,0.9299106,0.02082795,0.03737211,0.007408929],"study_design_scores_gemma":[0.0003458435,0.00001895827,0.000465299,0.0004393681,0.0005122604,0.0002010272,0.001768119,0.0321136,0.316706,0.0002823864,0.6466696,0.0004775572],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3083161,0.305555,0.02731727,0.02710072,0.002775342,0.0007590377,0.0005007809,0.001343877,0.3263319],"genre_scores_gemma":[0.9955599,0.0003381487,0.000223385,0.0001801582,0.0001409616,0.0001117665,0.0003433413,0.00003032987,0.003071956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6872439,"threshold_uncertainty_score":0.6647251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430970605006691,"score_gpt":0.2882273807668108,"score_spread":0.2739176747167439,"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."}}