{"id":"W4387993225","doi":"10.1016/j.est.2023.109426","title":"Bio-waste fish scale: An efficient piezoelectric separator for self-chargeable supercapacitor","year":2023,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Science and Engineering Research Board; Natural Sciences and Engineering Research Council of Canada; Council of Scientific and Industrial Research, India","keywords":"Supercapacitor; Separator (oil production); Voltage; Accumulator (cryptography); Piezoelectricity; Electrical engineering; Mechanical energy; Electric potential energy; Energy harvesting; Nanogenerator; Materials science; Rectification; Energy storage; Power (physics); Optoelectronics; Engineering; Electrode; Computer science; Physics; Capacitance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00123588,0.0002130915,0.0004142969,0.000370768,0.0002401352,0.0001969927,0.0004183807,0.0001357661,0.0002161501],"category_scores_gemma":[0.0001041706,0.0001781169,0.0001675618,0.0005778941,0.00004151307,0.0004660845,0.00003604262,0.00008967711,0.00004677203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002140815,"about_ca_system_score_gemma":0.0001520596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003353429,"about_ca_topic_score_gemma":0.00001083657,"domain_scores_codex":[0.9979393,0.0001555281,0.0006499951,0.0002908622,0.0004804771,0.0004838007],"domain_scores_gemma":[0.9985687,0.0001268534,0.0003277798,0.000309277,0.0004226289,0.000244722],"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":[0.0001261669,0.0001989749,0.00005767522,0.00003155156,0.0000204354,0.00001576844,0.0004247768,0.002408637,0.9801546,0.0003620929,0.01585116,0.0003481057],"study_design_scores_gemma":[0.001683266,0.001535853,0.0006184523,0.0000719087,0.0001253671,0.0001403042,0.0006870634,0.02570149,0.9076173,0.0002885297,0.06091434,0.0006161229],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918329,0.00009557566,0.003590359,0.0002038237,0.003849564,0.0001174937,0.00008941112,0.0001307437,0.00009010908],"genre_scores_gemma":[0.9953342,0.00006493976,0.001715323,0.0001856233,0.002304871,0.00002993315,0.00002121479,0.00004648436,0.0002974139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07253736,"threshold_uncertainty_score":0.7263397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557551611314826,"score_gpt":0.2443025274626291,"score_spread":0.2287270113494809,"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."}}