{"id":"W2800300591","doi":"10.1002/chem.201801247","title":"Supramolecular Assembly of Peptide and Metallopeptide Gelators and Their Stimuli‐Responsive Properties in Biomedical Applications","year":2018,"lang":"en","type":"review","venue":"Chemistry - A European Journal","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Supramolecular chemistry; Biocompatibility; Peptide; Nanotechnology; Materials science; Biocompatible material; Drug delivery; Combinatorial chemistry; Scaffold; Redox; Metal ions in aqueous solution; Soft materials; Organic solvent; Chemistry; Ion; Chemical engineering; Molecule; Organic chemistry; Biochemistry; Computer science; Biomedical engineering","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":[0.003022427,0.0006664343,0.001627251,0.0002015868,0.0001758218,0.0003691251,0.0008792533,0.0002143457,0.000157951],"category_scores_gemma":[0.0006781875,0.0004807947,0.0002539989,0.0003001578,0.0007739606,0.0001669273,0.0006025119,0.0005841701,0.00006090064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001046723,"about_ca_system_score_gemma":0.0004527713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003099064,"about_ca_topic_score_gemma":3.31566e-7,"domain_scores_codex":[0.9953408,0.001470147,0.00154036,0.0007354586,0.0004013407,0.0005118696],"domain_scores_gemma":[0.9975008,0.0002150478,0.001058204,0.0006220923,0.0002147217,0.0003891096],"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":[0.0000385384,0.0001500892,0.000003885974,0.00862951,0.000189331,0.0003798992,0.0003684458,8.962914e-7,0.9658849,0.000005816803,0.0002891106,0.02405956],"study_design_scores_gemma":[0.0008267349,0.0002168484,0.00001488739,0.01257423,0.0006510465,0.005653406,0.0003973046,0.00002550437,0.07915128,0.00004032574,0.8993952,0.001053267],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2139234,0.7845114,0.0003895547,0.00001973408,0.000131893,0.0005643223,0.00007818935,0.00004388768,0.0003375686],"genre_scores_gemma":[0.01884324,0.9772551,0.002793816,0.00003673638,0.000554612,0.00008227787,0.0000443326,0.0002175435,0.0001723441],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.899106,"threshold_uncertainty_score":0.9997644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03503196602306653,"score_gpt":0.2828026483848488,"score_spread":0.2477706823617822,"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."}}