{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002934911,0.0002279103,0.0004860606,0.00005228382,0.0002837071,0.0001186961,0.0003004097,0.00008413299,0.0004481698],"category_scores_gemma":[0.0002855208,0.0001897055,0.00004300989,0.00002002973,0.0001015861,0.0006036963,0.00008756514,0.0000518438,0.00003808027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002283466,"about_ca_system_score_gemma":0.000007275858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007607938,"about_ca_topic_score_gemma":0.000003719644,"domain_scores_codex":[0.9986621,0.00002941159,0.0004983204,0.0002173826,0.0001494359,0.0004434064],"domain_scores_gemma":[0.9989883,0.00005427649,0.000162783,0.0006418863,0.0000805724,0.00007212256],"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":[0.00002496163,0.000006048554,0.000007948021,0.0001998392,0.00002000106,0.000009346301,0.0001113681,0.01568276,0.9829395,0.000438118,0.00002472466,0.0005353374],"study_design_scores_gemma":[0.0003612597,0.00002075501,0.00004138434,0.0001259931,0.00001305026,0.00001106886,0.00005032605,0.00004579301,0.9979636,0.0006950768,0.0004282079,0.0002435042],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931201,0.0001343503,0.0005265599,0.00002658213,0.002929417,0.0001002198,0.00005040782,0.0003041916,0.002808156],"genre_scores_gemma":[0.993467,0.00007182865,0.005862848,0.0000155661,0.0001746854,0.00002110711,0.00002009192,0.00007308376,0.0002937544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01563697,"threshold_uncertainty_score":0.7735965,"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."}}