{"id":"W198091630","doi":"10.1533/9780857096449.3.490","title":"Self-assembled nanomaterials for tissue-engineering applications","year":2012,"lang":"en","type":"book-chapter","venue":"Nanomedicine","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Tissue engineering; Nanotechnology; Nucleic acid; Peptide; Nanomaterials; Amphiphile; Materials science; Chemistry; Engineering; Biochemistry; Biomedical engineering; Organic chemistry; Copolymer","routes":{"ca_aff":true,"ca_fund":false,"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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001326678,0.0008474461,0.00141476,0.0003563376,0.0001881023,0.0001506887,0.0008215116,0.0007877284,0.003301636],"category_scores_gemma":[0.00009331237,0.0008014354,0.0001889124,0.00007395459,0.00004604089,0.0002040589,0.0002152445,0.0001713611,0.002341453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003257133,"about_ca_system_score_gemma":0.0001900287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005914989,"about_ca_topic_score_gemma":0.000001199554,"domain_scores_codex":[0.9963142,0.00003953724,0.001205819,0.0008936106,0.0006417242,0.0009051465],"domain_scores_gemma":[0.997069,0.0003625489,0.0006902019,0.001213357,0.000303736,0.0003611532],"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":[0.00003164544,0.00004760219,7.761612e-7,0.0008807873,0.00008699881,0.00001109709,0.00007606431,0.000002821585,0.963071,0.03319376,0.001767683,0.0008297315],"study_design_scores_gemma":[0.00063564,0.0001431287,0.000003604082,0.0001731269,0.0003684553,0.00005536976,0.000003925913,0.000006811019,0.3767162,0.000960129,0.6203424,0.0005911645],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.06270073,0.07597152,0.1536744,0.002902217,0.06890442,0.06525093,0.004287329,0.0174494,0.5488591],"genre_scores_gemma":[0.2078733,0.005194411,0.3661369,0.002613519,0.06104269,0.02008017,0.004096498,0.00486454,0.328098],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6185747,"threshold_uncertainty_score":0.9994437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292817557513485,"score_gpt":0.2528022128744576,"score_spread":0.2398740372993228,"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."}}