{"id":"W2747704920","doi":"10.1002/adma.201703098","title":"Water‐Enabled Healing of Conducting Polymer Films","year":2017,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; CMC Microsystems","keywords":"PEDOT:PSS; Materials science; Polystyrene sulfonate; Biocompatibility; Conductive polymer; Electronics; Wetting; Stretchable electronics; Nanotechnology; Thin film; Polymer; Electrical conductor; Composite material; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000934355,0.0002686659,0.0001270142,0.0001698949,0.0001329322,0.0001796377,0.0001675538,0.0002757073,0.0006700024],"category_scores_gemma":[0.000146418,0.0001518877,0.0001341817,0.0001004145,0.0001848819,0.000387225,0.0002104544,0.000311706,0.0001709988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001061903,"about_ca_system_score_gemma":0.0000723359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000133583,"about_ca_topic_score_gemma":0.0002006279,"domain_scores_codex":[0.9999288,0.000005745911,0.000003843539,0.00001964546,0.00001901597,0.00002284495],"domain_scores_gemma":[0.9999259,0.00002003142,0.00002423626,0.000008482839,0.00001018916,0.0000113151],"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":[0.00001710838,0.00000480619,0.00002696323,0.00001850056,0.000001382462,0.0000518504,0.00001375986,0.00005680371,0.9978904,0.000048014,0.00002481615,0.001845576],"study_design_scores_gemma":[0.000002788589,0.00006039565,0.0002901668,0.000002004236,0.000002173409,0.00006161052,0.000009781624,0.0005532471,0.9982064,0.00003397258,0.0007755022,0.000002029394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896079,0.001728317,0.006220835,0.00006820616,0.00008106057,0.00002138249,0.00008687072,0.0001452781,0.002040207],"genre_scores_gemma":[0.9949597,0.0006717024,0.002403982,0.0000382202,0.00001034761,0.000009766606,0.00004887864,0.0000152629,0.001842207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006700024,"threshold_uncertainty_score":0.002241433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03072435936164392,"score_gpt":0.2656827263225434,"score_spread":0.2349583669608995,"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."}}