{"id":"W3104434988","doi":"10.1039/d0ta09735g","title":"Ultra elastic, stretchable, self-healing conductive hydrogels with tunable optical properties for highly sensitive soft electronic sensors","year":2020,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":193,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Self-healing hydrogels; Self-healing; Ionic bonding; Conductor; Materials science; Micelle; Soft materials; Nanotechnology; Electrical conductor; Covalent bond; Reinforcement; Composite material; Polymer chemistry; Chemistry; Aqueous solution; Ion","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":[],"consensus_categories":[],"category_scores_codex":[0.0002103,0.0003025875,0.0006364136,0.00002260845,0.00007359262,0.0001054618,0.0001243624,0.0001312801,0.00002893597],"category_scores_gemma":[0.0002179207,0.0002397322,0.00007255953,0.00007986781,0.00006054849,0.0002779143,0.00001420287,0.0001985156,0.000004179413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001279994,"about_ca_system_score_gemma":0.0001103155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002311985,"about_ca_topic_score_gemma":1.994489e-7,"domain_scores_codex":[0.9984497,0.00003155098,0.0005980853,0.0002046033,0.0002119287,0.000504141],"domain_scores_gemma":[0.9990595,0.0001143726,0.0002520478,0.0001054399,0.0002579794,0.0002106629],"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":[0.0005028343,0.00001983307,0.000001181434,0.000612848,0.00020788,0.00004407551,0.0003164758,0.182936,0.8152834,0.00002034879,0.00004413552,0.00001099835],"study_design_scores_gemma":[0.000912254,0.0002348117,0.000002058644,0.0002068378,0.0001291777,0.0003887879,0.0004068701,0.001302783,0.9954844,0.00007365691,0.0005616879,0.0002966923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958624,0.00008071053,0.003190938,0.0001569889,0.0001729646,0.0001469363,0.00005140486,0.0001754238,0.0001622036],"genre_scores_gemma":[0.9936112,0.00005501384,0.00544015,0.00003691459,0.0007191013,0.00001088869,0.000009034411,0.00008014857,0.00003760788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1816332,"threshold_uncertainty_score":0.9775995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189339072943471,"score_gpt":0.1983244417744031,"score_spread":0.1864310510449683,"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."}}