{"id":"W2990590310","doi":"10.1002/adfm.201906016","title":"Hydrogel‐Enabled Transfer‐Printing of Conducting Polymer Films for Soft Organic Bioelectronics","year":2019,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"California NanoSystems Institute; National Institutes of Health","keywords":"Bioelectronics; Conformable matrix; PEDOT:PSS; Materials science; Conductive polymer; Polystyrene sulfonate; Nanotechnology; Thin film; Polymer; Self-healing hydrogels; Biosensor; Polymer chemistry; Composite material; Layer (electronics)","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":[0.000111988,0.0003473215,0.0001404346,0.000210989,0.00008796062,0.0002630251,0.0001793244,0.0002550546,0.001223125],"category_scores_gemma":[0.0001462355,0.0001452783,0.0002017853,0.0001433714,0.0001260369,0.0002862997,0.0002244864,0.0003560442,0.0003965918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001715022,"about_ca_system_score_gemma":0.00008536538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001116863,"about_ca_topic_score_gemma":0.0002568981,"domain_scores_codex":[0.9999142,0.000008657822,0.00000792475,0.00002217466,0.00003204768,0.00001500092],"domain_scores_gemma":[0.9999095,0.0000298455,0.00002267514,0.00001481108,0.00001175654,0.00001137281],"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":[0.000008209968,0.000007654904,0.00002469146,0.00003554421,0.000002896016,0.00004471097,0.000006782127,0.0001082668,0.9972522,0.00008493906,0.0000479068,0.002376236],"study_design_scores_gemma":[0.000002701877,0.00002074777,0.0001839621,0.000002430564,0.000003385909,0.00004625731,0.000003231984,0.000768851,0.9981363,0.00002197131,0.0008077315,0.000002443719],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9074532,0.005906655,0.07562273,0.0001997169,0.0004100055,0.0001108083,0.0005919137,0.0008582445,0.008846807],"genre_scores_gemma":[0.9722673,0.001376235,0.02235269,0.00006992086,0.00002843129,0.00004218004,0.0001479048,0.00005142912,0.003664051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001223125,"threshold_uncertainty_score":0.00409174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560887568454653,"score_gpt":0.2101546456731113,"score_spread":0.1945457699885648,"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."}}