{"id":"W3059605322","doi":"10.1039/d0bm01104e","title":"Multi-component peptide hydrogels – a systematic study incorporating biomolecules for the exploration of diverse, tuneable biomaterials","year":2020,"lang":"en","type":"article","venue":"Biomaterials Science","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto; Toronto Public Health","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Self-healing hydrogels; Biomolecule; Component (thermodynamics); Nanotechnology; Peptide; Materials science; Chemistry; Polymer chemistry; Biochemistry; Physics","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":[0.0002163635,0.0003065776,0.0001347859,0.0002241644,0.000100967,0.0002027113,0.0001556292,0.0002228808,0.0003450457],"category_scores_gemma":[0.0001275779,0.0001251131,0.0001542477,0.0001552328,0.0001673868,0.0003985038,0.0001552077,0.0002843937,0.0001650925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001765614,"about_ca_system_score_gemma":0.0002203467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001863935,"about_ca_topic_score_gemma":0.000233441,"domain_scores_codex":[0.9999288,0.00001030419,0.000006818462,0.00002002258,0.00002243,0.00001161883],"domain_scores_gemma":[0.9999312,0.00001477086,0.00002081972,0.000007326819,0.00001139044,0.00001437284],"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":[0.00001555235,0.00002284921,0.00006348576,0.00008517975,0.00000360825,0.00002897283,0.00002420378,0.0001042739,0.9960234,0.0001720288,0.00001785344,0.003438541],"study_design_scores_gemma":[0.000005996126,0.0001796287,0.0009865904,0.00001175593,0.00001280923,0.0002036207,0.00001487137,0.000486455,0.9927801,0.00005791745,0.005252362,0.000007938729],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597124,0.01829266,0.01783405,0.0001581459,0.00003406889,0.0001655216,0.0002125599,0.0000882696,0.003502369],"genre_scores_gemma":[0.9599335,0.01425222,0.02236647,0.0001119281,0.00002390169,0.00008890335,0.0003021718,0.0000372064,0.002883683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003450457,"threshold_uncertainty_score":0.001281083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09076549307477254,"score_gpt":0.311331062298316,"score_spread":0.2205655692235435,"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."}}