{"id":"W4296613106","doi":"10.1002/adfm.202208024","title":"Intrinsically Electron Conductive, Antibacterial, and Anti‐swelling Hydrogels as Implantable Sensors for Bioelectronics","year":2022,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"National Key Research and Development Program of China","keywords":"Bioelectronics; Self-healing hydrogels; Materials science; Nanotechnology; Electrode; Conductive polymer; Electrical conductor; Polymer; Electronic materials; Biosensor; Polymer chemistry; Composite material; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001433588,0.00029652,0.00009839423,0.0001492168,0.00006525734,0.0003034021,0.0001536652,0.000248863,0.0005735726],"category_scores_gemma":[0.0001372639,0.0001069085,0.0001073303,0.0001023104,0.0001502811,0.0004167481,0.0001830162,0.000213011,0.0001635951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001411415,"about_ca_system_score_gemma":0.00009404109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009932988,"about_ca_topic_score_gemma":0.0002955167,"domain_scores_codex":[0.9999435,0.00001114073,0.000003782758,0.0000112906,0.00001863466,0.00001161052],"domain_scores_gemma":[0.9999028,0.00002158469,0.00003330496,0.000006094805,0.0000141013,0.00002217238],"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":[0.00002385827,0.00001203618,0.00008222147,0.00004729712,0.000003049158,0.0000277998,0.000008921223,0.0001519263,0.9963936,0.0002804803,0.00007479663,0.002893965],"study_design_scores_gemma":[0.000006438616,0.00009152912,0.0004549962,0.000004953192,0.000006096366,0.00006101232,0.000009720816,0.001624058,0.9958265,0.00008631863,0.001822491,0.000005852338],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611664,0.01085424,0.02107609,0.0003252714,0.0001649267,0.00004163734,0.0002289217,0.0002427393,0.005899838],"genre_scores_gemma":[0.9877564,0.001568948,0.008238543,0.0001183434,0.00003401242,0.00001949628,0.00004963189,0.00001901321,0.002195545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005735726,"threshold_uncertainty_score":0.001918793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014452648044808,"score_gpt":0.2190568191211709,"score_spread":0.2089122926407228,"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."}}