{"id":"W2884618175","doi":"10.1039/c8ta05862h","title":"High-performance flexible all-solid-state aqueous rechargeable Zn–MnO<sub>2</sub> microbatteries integrated with wearable pressure sensors","year":2018,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Advanced battery technologies research","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"Natural Science Foundation of Jiangsu Province; Chinese Academy of Sciences","keywords":"Wearable computer; Solid-state; Aqueous solution; Embedded system; Pressure sensor; Materials science; Wearable technology; Nanotechnology; Computer science; Engineering; Chemistry; Mechanical engineering; Engineering physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001278608,0.0004057399,0.000286987,0.0001680546,0.0001206958,0.0003303665,0.0005063899,0.0003207756,0.0007100946],"category_scores_gemma":[0.0001963427,0.0002495431,0.0001039528,0.0001549045,0.0002039858,0.0004739909,0.0002354609,0.0002460721,0.00031008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000275518,"about_ca_system_score_gemma":0.0001256133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008634297,"about_ca_topic_score_gemma":0.002588525,"domain_scores_codex":[0.9998784,0.000006711594,0.000006204084,0.00004755007,0.00004008442,0.00002102541],"domain_scores_gemma":[0.9999185,0.00001197171,0.00002252011,0.000006888154,0.00002527326,0.00001490896],"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":[0.00004549839,0.000008459247,0.00008415791,0.00002713415,0.000003234636,0.00002210268,0.000009545371,0.0000753784,0.99747,0.00004837951,0.00009552696,0.002110656],"study_design_scores_gemma":[0.00001957548,0.0001350703,0.001473999,0.00000246513,0.00001293861,0.00008268075,0.0000150774,0.002653381,0.9929718,0.00001937672,0.0026043,0.000009357754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957179,0.00181316,0.03680602,0.0002136098,0.0001692362,0.00009124183,0.0004486568,0.001024233,0.002254942],"genre_scores_gemma":[0.9740208,0.0004450357,0.02089799,0.00007752309,0.00003051185,0.00005115014,0.0001934516,0.00003707646,0.004246451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008634297,"threshold_uncertainty_score":0.002375543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00987927900742789,"score_gpt":0.2309775300083763,"score_spread":0.2210982510009484,"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."}}