{"id":"W2151964215","doi":"10.1002/chem.200802337","title":"Cyclic Peptide–Polymer Complexes and Their Self‐Assembly","year":2009,"lang":"en","type":"article","venue":"Chemistry - A European Journal","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Hydrogen bond; Stacking; Polymer; Supramolecular chemistry; Self-assembly; Cyclic peptide; Peptide; Amide; Vinyl alcohol; Polymer chemistry; Chemistry; Aqueous solution; Non-covalent interactions; Side chain; Carboxylic acid; Materials science; Combinatorial chemistry; Organic chemistry; Molecule","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001205549,0.0003459701,0.0003442465,0.00003884862,0.0003723445,0.0007800157,0.0006342277,0.00005345494,0.0006752454],"category_scores_gemma":[0.00009778567,0.0002810497,0.0001108959,0.0001009387,0.00009739461,0.0002486126,0.0001374134,0.000286487,0.0002703865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005331847,"about_ca_system_score_gemma":0.00005643504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001209489,"about_ca_topic_score_gemma":8.618598e-8,"domain_scores_codex":[0.9978144,0.0004128636,0.0005485986,0.0004090458,0.0002781406,0.0005369465],"domain_scores_gemma":[0.9987454,0.00005669267,0.0003177286,0.0004269034,0.00009400403,0.0003592456],"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":[0.0000250915,0.00007144688,0.0000451876,0.0000229067,0.00001679593,0.0002709981,0.00043594,0.000002884819,0.9964756,0.00001319531,0.001836895,0.0007830177],"study_design_scores_gemma":[0.0006401805,0.00008250483,0.001677432,0.00007283427,0.00002691664,0.003034268,0.0002321169,0.00004078976,0.988731,0.0001352982,0.004976637,0.0003499956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902436,0.0007014436,0.0002967136,0.0003753284,0.0002586424,0.00006964289,0.00001171443,0.0002048759,0.007838052],"genre_scores_gemma":[0.9966656,0.00007888018,0.001583544,0.0005143324,0.0007873771,0.000001202942,0.00000563857,0.00005184036,0.0003115832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007744614,"threshold_uncertainty_score":0.9999642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059326775898087,"score_gpt":0.2230141227588441,"score_spread":0.2124208549998632,"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."}}