{"id":"W4411923806","doi":"10.1002/adma.202502211","title":"Electrospun Lignin/ZnO Nanofibrous Membranes for Self‐Powered Ultrasensitive Flexible Airflow Sensor and Wearable Device","year":2025,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Deutsche Forschungsgemeinschaft; Alexander von Humboldt-Stiftung","keywords":"Airflow; Materials science; Wearable computer; Nanotechnology; Wearable technology; Electronics; Triboelectric effect; Computer science; Electrical engineering; Embedded system; Mechanical 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002513777,0.0004125631,0.0006659328,0.0001245508,0.0002288875,0.0001366033,0.0001202579,0.000162346,0.00002756673],"category_scores_gemma":[0.0001782886,0.000420629,0.00005693726,0.0001987883,0.0000514189,0.0003640184,0.00003494076,0.00006258227,0.00001983124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009826026,"about_ca_system_score_gemma":0.00003483787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001915564,"about_ca_topic_score_gemma":0.000007949587,"domain_scores_codex":[0.998188,0.00005877463,0.000495215,0.0004675428,0.0001322294,0.0006582973],"domain_scores_gemma":[0.9990326,0.0003084369,0.00008318595,0.0003083549,0.0001683209,0.00009906163],"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":[0.0001588724,0.00001880991,0.000003430148,0.00093194,0.00009596852,0.0000074585,0.00008597229,0.008681331,0.9884266,0.0006828921,0.0002147497,0.0006919697],"study_design_scores_gemma":[0.001126573,0.00008060026,0.00004769778,0.0002429632,0.00006678903,0.00002376829,0.00008173573,0.0001843261,0.9814617,0.002081166,0.01416703,0.0004356524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798424,0.001713845,0.008963195,0.00008925034,0.002221252,0.000993515,0.0002508511,0.002178028,0.003747623],"genre_scores_gemma":[0.9186517,0.002090447,0.07649098,0.0002563583,0.0002190964,0.0002402301,0.00007506865,0.0001422955,0.001833802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06752779,"threshold_uncertainty_score":0.9998245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005814012212746337,"score_gpt":0.2298650882336534,"score_spread":0.2240510760209071,"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."}}