{"id":"W2088638595","doi":"10.1039/c4tb01503g","title":"Metals & polymers in the mix: fine-tuning the mechanical properties & color of self-healing mussel-inspired hydrogels","year":2014,"lang":"en","type":"article","venue":"Journal of Materials Chemistry B","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"iNano Medical (Canada)","funders":"Danmarks Frie Forskningsfond; Lundbeckfonden","keywords":"Self-healing hydrogels; Materials science; Polymer; Mussel; Cationic polymerization; Modulus; Chemical engineering; Self-healing; Chitosan; Polymer chemistry; Nanotechnology; Composite material","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":[],"consensus_categories":[],"category_scores_codex":[0.003856828,0.0002434275,0.0006839044,0.00004865199,0.0001664318,0.0001594987,0.0008247892,0.0001090337,0.0007608008],"category_scores_gemma":[0.001123882,0.0001304626,0.0001542729,0.0001522836,0.0001669008,0.0002442127,0.0001552302,0.0002243514,0.00003081925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000636054,"about_ca_system_score_gemma":0.00009747426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009949531,"about_ca_topic_score_gemma":0.00002481399,"domain_scores_codex":[0.9969605,0.0005535996,0.001301044,0.00020574,0.0006306641,0.0003485146],"domain_scores_gemma":[0.9974102,0.0006310861,0.001277832,0.0004249018,0.0001893762,0.00006665224],"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":[0.0001645378,0.00009055657,0.00001965534,0.0001265692,0.00006646579,0.000003565334,0.001576681,0.0001066163,0.997516,0.0000126432,0.000273086,0.0000435665],"study_design_scores_gemma":[0.0004187857,0.00003686982,0.00005410309,0.0002059946,0.00009205037,0.0001684075,0.0007004026,0.00001880821,0.9902021,0.00004995459,0.007910817,0.0001416864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996326,0.0005506749,0.0001154146,0.001763385,0.0007672295,0.0001356348,0.0000175743,0.00002459684,0.0002994626],"genre_scores_gemma":[0.9982009,0.00004773184,0.000994703,0.0002139266,0.0003293147,0.00001600401,0.000001599264,0.00002131446,0.0001745251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007637731,"threshold_uncertainty_score":0.8330235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03348905637027304,"score_gpt":0.270951212668573,"score_spread":0.2374621562983,"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."}}