{"id":"W4224252747","doi":"10.1016/j.colsurfb.2022.112509","title":"Plant-inspired conductive adhesive organohydrogel with extreme environmental tolerance as a wearable dressing for multifunctional sensors","year":2022,"lang":"en","type":"article","venue":"Colloids and Surfaces B Biointerfaces","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"Biocompatibility; Materials science; Self-healing hydrogels; Conductivity; Composite material; Biocompatible material; Toughness; Electrical conductor; Nanotechnology; Biomedical engineering; Polymer chemistry; Chemistry","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":[0.0001032767,0.0002513462,0.0002882411,0.00005966899,0.0004470277,0.00008042785,0.00009796532,0.00004414034,0.0001822948],"category_scores_gemma":[0.00001317892,0.0002311524,0.00003732969,0.00008812657,0.0001239743,0.0002090979,0.00005556415,0.00010929,0.000006139296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009201212,"about_ca_system_score_gemma":0.0000206738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003971386,"about_ca_topic_score_gemma":0.00001682606,"domain_scores_codex":[0.9989046,0.00004360146,0.0002136335,0.0003443088,0.0001796162,0.0003142783],"domain_scores_gemma":[0.999596,0.0001144391,0.00006724799,0.0001231003,0.00001553239,0.00008366723],"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":[0.0003313636,0.0000314985,0.0008065657,0.00004601228,0.00008454382,0.00001134786,0.0006739188,0.3869812,0.6106331,0.00002217273,0.00015393,0.0002243393],"study_design_scores_gemma":[0.003300704,0.0009866101,0.001023482,0.0001593696,0.00008236649,0.000278731,0.008826558,0.1546911,0.8072643,0.0002068314,0.02206894,0.001111088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965844,0.001334333,0.0003470867,0.0000304327,0.0003888907,0.0002977796,0.0005366824,0.0001747136,0.0003057092],"genre_scores_gemma":[0.995463,0.00008496001,0.002797126,0.00002908178,0.00003709729,0.00006954133,0.00005538456,0.00005386896,0.001410008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2322902,"threshold_uncertainty_score":0.9426121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654458121570728,"score_gpt":0.1992098720964384,"score_spread":0.1826652908807311,"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."}}