{"id":"W2605718278","doi":"10.1088/1361-6528/aa6612","title":"Design guidelines of triboelectric nanogenerator for water wave energy harvesters","year":2017,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"King Abdullah University of Science and Technology","keywords":"Triboelectric effect; Nanogenerator; Materials science; Energy harvesting; Mechanical energy; Power (physics); Energy (signal processing); Wave power; RADIUS; Acoustics; Electrical engineering; Computer science; Physics; Engineering; Composite material; Piezoelectricity","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":[0.0003834471,0.0006270927,0.0004557892,0.0004655686,0.0003368011,0.0007652751,0.0009310566,0.0008450095,0.002106187],"category_scores_gemma":[0.000495306,0.0003772394,0.0002799706,0.0002587084,0.0003006766,0.000593179,0.0004136117,0.0003192009,0.001053186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000549772,"about_ca_system_score_gemma":0.0004135313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003438422,"about_ca_topic_score_gemma":0.0009597158,"domain_scores_codex":[0.9998159,0.0000227951,0.00001758359,0.00003639633,0.00009232887,0.00001499779],"domain_scores_gemma":[0.9998701,0.00002892385,0.00003098758,0.00001370516,0.00004886453,0.000007406753],"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":[0.00009007578,0.00008454191,0.0004341108,0.000908791,0.00002451646,0.0004972539,0.0003144428,0.1054614,0.8127968,0.03008378,0.001768321,0.04753594],"study_design_scores_gemma":[0.00008690779,0.0004635429,0.0006691005,0.000135624,0.00004612439,0.0004546968,0.0002738272,0.6067305,0.3151864,0.01249262,0.06339092,0.0000698898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09572405,0.004499144,0.8615991,0.0008458169,0.0001932648,0.0008367912,0.0003441154,0.0007019552,0.03525592],"genre_scores_gemma":[0.5513805,0.003966631,0.4299121,0.0001975185,0.00003558672,0.001580626,0.0002621405,0.0001624648,0.01250243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002106187,"threshold_uncertainty_score":0.007045925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06129492862339408,"score_gpt":0.2681279188018624,"score_spread":0.2068329901784683,"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."}}