{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002633187,0.000314641,0.0004829265,0.000121346,0.0004593559,0.00009447753,0.0001113034,0.00007371354,0.0003617144],"category_scores_gemma":[0.00006973106,0.0003448194,0.00005155306,0.0001477084,0.00005301517,0.0003401744,0.00007334803,0.0001383329,0.00001480712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001474331,"about_ca_system_score_gemma":0.00004197955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001183185,"about_ca_topic_score_gemma":0.00000139284,"domain_scores_codex":[0.9982586,0.00007192234,0.0004410894,0.000427144,0.0001944643,0.0006067607],"domain_scores_gemma":[0.9993667,0.0001727712,0.0001124333,0.0001883285,0.00006527256,0.00009451807],"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":[0.0003281242,0.00001821431,0.000004505492,0.0000583307,0.00005735743,0.000003502996,0.00002047752,0.1823233,0.8128038,0.003976272,0.0001348365,0.0002712445],"study_design_scores_gemma":[0.0009320005,0.0002927274,0.00007391185,0.00001369787,0.00003543784,0.0002357805,0.0000508866,0.0002703113,0.9637138,0.004316554,0.02963143,0.0004334349],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934794,0.0002259552,0.002288339,0.00003310298,0.002388424,0.0003991498,0.0004961396,0.0004274042,0.0002620366],"genre_scores_gemma":[0.9954776,0.0003121271,0.00283376,0.00009451643,0.0003214427,0.0002139264,0.000408432,0.0001052066,0.0002330449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.182053,"threshold_uncertainty_score":0.9999004,"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."}}