{"id":"W4384666238","doi":"10.1002/adfm.202303471","title":"Metal‐Organic Framework Reinforced Highly Stretchable and Durable Conductive Hydrogel‐Based Triboelectric Nanogenerator for Biomotion Sensing and Wearable Human‐Machine Interfaces","year":2023,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":185,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Calgary","keywords":"Triboelectric effect; Materials science; Nanogenerator; Nanotechnology; Electronic skin; Wearable computer; Stretchable electronics; Wearable technology; Energy harvesting; Electrode; Electronics; Nanocomposite; Contact electrification; Flexible electronics; Composite material; Electrical engineering; Power (physics); Computer science; Piezoelectricity","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007915842,0.0002770382,0.0001139719,0.0001927872,0.00005837949,0.000127321,0.0002587985,0.0002651383,0.0006328763],"category_scores_gemma":[0.0001061358,0.0001142728,0.0001404925,0.0001140271,0.00009389271,0.000223093,0.0001378928,0.000177147,0.0001883539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001844598,"about_ca_system_score_gemma":0.00007724828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002360683,"about_ca_topic_score_gemma":0.000563541,"domain_scores_codex":[0.9999449,0.000004933517,0.000003999436,0.00001274334,0.00001937842,0.00001395434],"domain_scores_gemma":[0.9999585,0.000005677465,0.00001729993,0.000003549595,0.000008638675,0.00000641891],"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":[0.00001105013,0.000007656749,0.00004021499,0.00002981063,0.00000303397,0.00002758235,0.000003868424,0.0001348002,0.9980939,0.00008080466,0.00004626788,0.001521077],"study_design_scores_gemma":[0.00000894666,0.00007055714,0.0006123576,0.00000354332,0.000008532088,0.00006216548,0.00000615703,0.002796948,0.9946389,0.00002695499,0.001758668,0.000006394134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641722,0.003499386,0.02829989,0.0002229993,0.000133696,0.0000470762,0.0002387264,0.0004081617,0.002977791],"genre_scores_gemma":[0.9876233,0.0007095036,0.009645237,0.00005141539,0.00001397958,0.000018521,0.00009529198,0.00001407392,0.00182866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006328763,"threshold_uncertainty_score":0.002117217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779602262175137,"score_gpt":0.2350723386423596,"score_spread":0.2172763160206082,"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."}}