{"id":"W2753726541","doi":"10.1063/1.4997911","title":"Highly stretchable electrospun conducting polymer nanofibers","year":2017,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Plasmionique (Canada); Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"PEDOT:PSS; Materials science; Polydimethylsiloxane; Nanofiber; Electrospinning; Stretchable electronics; Conductive polymer; Polymer; Nanotechnology; Substrate (aquarium); Polypyrrole; Electronics; Polymerization; Composite material; 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":[],"consensus_categories":[],"category_scores_codex":[0.0000466219,0.0002133559,0.0002163124,0.00001823883,0.0003319146,0.0001623283,0.0002664955,0.00004749617,0.0000156802],"category_scores_gemma":[0.000003717533,0.0002300909,0.00004628756,0.00003829016,0.00008034531,0.0002311624,0.00003941617,0.0001229863,0.00006894347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003975752,"about_ca_system_score_gemma":0.000005145767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000419881,"about_ca_topic_score_gemma":0.000001497549,"domain_scores_codex":[0.9990793,0.000005898854,0.0001558834,0.0002167103,0.0001200772,0.0004221444],"domain_scores_gemma":[0.9993044,0.00002697832,0.00008203324,0.0005117076,0.000009489173,0.0000654382],"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":[0.000004096075,0.000004365473,0.00003522862,0.00001907775,0.00003805438,0.00000332383,0.00007980655,0.01775217,0.9745112,0.005188406,0.0007308362,0.00163345],"study_design_scores_gemma":[0.0002530306,0.000004146351,0.00006125013,0.00001127578,0.00001471163,0.000001437179,0.00001697924,0.000202218,0.9978914,0.0003389607,0.000909137,0.0002955116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796234,0.00002033686,0.005681147,0.0001283876,0.0005948172,0.00007693038,0.000006656595,0.0004084831,0.01345978],"genre_scores_gemma":[0.9967799,0.000006807826,0.002029839,0.0003947884,0.0005577967,0.00002147306,0.0000165231,0.00007615688,0.0001167349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02338015,"threshold_uncertainty_score":0.9382834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01911299702675061,"score_gpt":0.2209058297781783,"score_spread":0.2017928327514277,"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."}}