{"id":"W4285278557","doi":"10.1039/d2py00252c","title":"Self-healable triboelectric nanogenerators based on ionic poly(hindered urea) network materials cross-linked with fluorinated block copolymers","year":2022,"lang":"en","type":"article","venue":"Polymer Chemistry","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Foundation of Korea; Ministry of Trade, Industry and Energy; Concordia University","keywords":"Triboelectric effect; Copolymer; Ionic bonding; Materials science; Ionic liquid; Covalent bond; Urea; Block (permutation group theory); Chemical engineering; Polymer chemistry; Polymer; Chemistry; Catalysis; Composite material; Organic chemistry; Ion; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002035031,0.0005170135,0.0005116854,0.00007525679,0.0005557322,0.0001295034,0.0003511663,0.0001692174,0.001522181],"category_scores_gemma":[0.00001811057,0.0005263244,0.00008451571,0.0007298766,0.00005805645,0.00008654621,0.00006152264,0.0003312326,0.00001565689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003459624,"about_ca_system_score_gemma":0.0001456419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004973585,"about_ca_topic_score_gemma":0.000001024716,"domain_scores_codex":[0.9974591,0.00008468242,0.0004935553,0.0005403699,0.0004452389,0.0009770966],"domain_scores_gemma":[0.9989197,0.00008544403,0.0001510459,0.0005728833,0.00004030682,0.0002306818],"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":[0.0002139798,0.00006722628,0.0001344079,0.0001353228,0.00009647663,0.00004878639,0.00002183483,0.2672316,0.7315704,0.00001230407,0.0003909971,0.0000766369],"study_design_scores_gemma":[0.001523012,0.0001010268,0.00005317755,0.00002962191,0.00005524972,0.00005727772,0.0000174565,0.008111184,0.9877621,0.000009097887,0.001651575,0.0006292522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927374,0.00167497,0.00008632215,0.00003482388,0.0008184466,0.0001826114,0.0001538792,0.00137113,0.002940408],"genre_scores_gemma":[0.9966409,0.00002621589,0.0003193356,0.0001768512,0.0004728008,0.0001871846,0.0003014068,0.0001886914,0.001686671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2591205,"threshold_uncertainty_score":0.9997188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005494639024672202,"score_gpt":0.1974339004770094,"score_spread":0.1919392614523372,"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."}}