{"id":"W2774770251","doi":"10.1016/j.actbio.2017.12.012","title":"Peptide and peptide-carbon nanotube hydrogels as scaffolds for tissue & 3D tumor engineering","year":2017,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Self-healing hydrogels; Tissue engineering; Carbon nanotube; Peptide; Materials science; Self-assembling peptide; Nanotechnology; Biomedical engineering; Biophysics; Biochemistry; Polymer chemistry; Chemistry; Engineering; Biology","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001008455,0.0005480855,0.0006871303,0.0001417301,0.0005459005,0.002021288,0.001058083,0.0002391233,0.0004550833],"category_scores_gemma":[0.0004923177,0.0005355047,0.00008838944,0.00006085613,0.0001875594,0.000613499,0.0005704049,0.00003397719,0.000352118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008503304,"about_ca_system_score_gemma":0.00007566262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007735279,"about_ca_topic_score_gemma":0.000046309,"domain_scores_codex":[0.9970732,0.0001057521,0.0006500399,0.0008878681,0.0003891688,0.0008939462],"domain_scores_gemma":[0.9975141,0.00008911615,0.0004874755,0.001528603,0.0001177963,0.0002628696],"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":[0.0001132775,0.00003759803,0.0001873285,0.000201626,0.00003376812,0.00003811019,0.0001797852,0.000001258269,0.9979807,0.0002068439,0.0009585534,0.00006114606],"study_design_scores_gemma":[0.0008789339,0.0001581015,0.001259027,0.0001351055,0.00008291598,0.0001521398,0.00001740558,0.00006046907,0.9530798,0.0002639228,0.04326621,0.0006460172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991702,0.00004877315,0.00007739169,0.0003109206,0.006073629,0.0008685382,0.0001587005,0.0003730334,0.0003869875],"genre_scores_gemma":[0.9853839,0.00001205308,0.01272651,0.0001195707,0.000737138,0.0002403657,0.00004912584,0.0001419968,0.0005893893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04490095,"threshold_uncertainty_score":0.9997097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653877134311573,"score_gpt":0.2760506276335564,"score_spread":0.2595118562904407,"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."}}