{"id":"W2897129956","doi":"10.1007/s40243-018-0137-5","title":"Stretchable current collectors based on carbon embedded in a poly (acrylamide)/poly (N,N-methylenebisacrylamide) hydrogel modified with Nafion 117®","year":2018,"lang":"en","type":"article","venue":"Materials for Renewable and Sustainable Energy","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"New Brunswick Innovation Foundation","keywords":"Nafion; Materials science; Self-healing hydrogels; Chemical engineering; Acrylamide; Aqueous solution; Polymer chemistry; Polymerization; Carbon fibers; Graphene; Conductivity; Polypyrrole; Carbon nanotube; Electrode; Curing (chemistry); Monomer; Composite material; Polymer; Composite number; Electrochemistry; Organic chemistry; Nanotechnology; Chemistry","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"],"consensus_categories":[],"category_scores_codex":[0.0005458241,0.0005590838,0.000736441,0.0004650308,0.0002630184,0.0001999128,0.0001961231,0.0002058796,0.00005549955],"category_scores_gemma":[0.0001123828,0.0005064254,0.00005400928,0.0004796261,0.0001281024,0.0002220887,0.00005815938,0.00007798724,9.19994e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003672057,"about_ca_system_score_gemma":0.0001425044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00366364,"about_ca_topic_score_gemma":0.001054956,"domain_scores_codex":[0.9971485,0.0000852603,0.0005796304,0.0006066812,0.0003108171,0.00126908],"domain_scores_gemma":[0.9988782,0.0001449964,0.0001249321,0.0004531423,0.0002132067,0.0001855108],"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":[0.002673296,0.0001921768,0.00007147877,0.001556157,0.00008656256,0.00009493964,0.0003040963,0.4193694,0.5661415,0.006748938,0.0004486247,0.002312803],"study_design_scores_gemma":[0.002507833,0.0008653905,0.00002939483,0.000259909,0.00003480343,0.000005823675,0.0002850292,0.04757328,0.9355416,0.003248184,0.008895449,0.0007533103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892177,0.0006988117,0.005683511,0.0000200033,0.000683392,0.0004176983,0.00005823325,0.0003840927,0.002836568],"genre_scores_gemma":[0.9964724,0.0001077297,0.0006753389,0.00006129174,0.0003447483,0.0003798673,0.00006938953,0.0001639518,0.001725282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3717961,"threshold_uncertainty_score":0.9997388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007982442224838847,"score_gpt":0.2192278865616454,"score_spread":0.2112454443368065,"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."}}