{"id":"W4224988755","doi":"10.1016/j.coelec.2022.101024","title":"Metallized electrospun polymeric fibers for electrochemical sensors and actuators","year":2022,"lang":"en","type":"article","venue":"Current Opinion in Electrochemistry","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministerul Cercetării şi Inovării; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Ontario Ministry of Research, Innovation and Science","keywords":"Materials science; Nanotechnology; Actuator; Conductive polymer; Electrospinning; Electronics; Wearable computer; Biosensor; Polymer; Electrode; Electrical conductor; Wearable technology; Computer science; Composite material; Electrical engineering; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002721896,0.000392515,0.0001719082,0.0001769256,0.0000972828,0.0004970725,0.0005946675,0.0009237217,0.003174184],"category_scores_gemma":[0.0002191009,0.0001679092,0.0001950081,0.0001798017,0.0003839947,0.001336823,0.0002101688,0.000728971,0.001019207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002013324,"about_ca_system_score_gemma":0.0000926806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008533674,"about_ca_topic_score_gemma":0.0002952463,"domain_scores_codex":[0.9998477,0.0000128692,0.000009783337,0.00005632747,0.00005677531,0.0000165679],"domain_scores_gemma":[0.9998986,0.00003694311,0.00002160053,0.00001173685,0.00002207367,0.000009138534],"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":[0.00004730904,0.00005042865,0.000064025,0.0004265568,0.00001705933,0.0001922963,0.00003213297,0.0001936436,0.9538899,0.003202403,0.001608468,0.0402757],"study_design_scores_gemma":[0.00002977447,0.0003155968,0.00112385,0.00005611741,0.0000303846,0.0004045064,0.00006234116,0.001608758,0.8938166,0.001960934,0.1005723,0.00001870285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4396791,0.3596826,0.1279896,0.01118913,0.008916451,0.0002671748,0.0006612483,0.0009661064,0.05064866],"genre_scores_gemma":[0.7537907,0.1328771,0.05168071,0.002605987,0.003356612,0.0001573249,0.0007360064,0.0001534213,0.05464206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003174184,"threshold_uncertainty_score":0.01061869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525683119840869,"score_gpt":0.2650811497659177,"score_spread":0.2498243185675091,"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."}}