{"id":"W4408434503","doi":"10.1088/1361-665x/adc0d1","title":"Additively manufactured substrates for vibration-based piezoelectric energy harvesting: design, fabrication and experimental validation","year":2025,"lang":"en","type":"article","venue":"Smart Materials and Structures","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fabrication; Energy harvesting; Vibration; Materials science; Mechanical engineering; Energy (signal processing); Engineering; Composite material; Structural engineering; Acoustics; Physics; Mathematics; Statistics","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":[0.0006543588,0.0003811458,0.0002406789,0.000400458,0.0001307543,0.0003719341,0.0004887219,0.0005147483,0.001091478],"category_scores_gemma":[0.0007494686,0.0002000156,0.0002992215,0.0003599212,0.0002956401,0.0002878639,0.0002813463,0.0003897968,0.0004658796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001983203,"about_ca_system_score_gemma":0.0001556136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001206121,"about_ca_topic_score_gemma":0.000234747,"domain_scores_codex":[0.9995297,0.00004141984,0.00002742265,0.00007303541,0.0002958169,0.00003260508],"domain_scores_gemma":[0.9993728,0.0001227052,0.000143305,0.000136674,0.0001990295,0.00002553096],"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":[0.00004295838,0.00008142402,0.0007315328,0.0004406937,0.00001733254,0.0002775598,0.00008987077,0.003960404,0.9772823,0.0005598441,0.0003523927,0.01616372],"study_design_scores_gemma":[0.00001256411,0.0009159453,0.003697933,0.00003363449,0.00002402481,0.0002637506,0.00006882557,0.01161256,0.977487,0.0001250511,0.005736102,0.00002260955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9213084,0.002163266,0.07017209,0.0001408824,0.0002335987,0.000332048,0.0005366601,0.0003491125,0.004763964],"genre_scores_gemma":[0.9549001,0.0007196853,0.04127332,0.00003270323,0.00001875075,0.0002413855,0.0001977265,0.00003386536,0.002582429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001091478,"threshold_uncertainty_score":0.003651381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296460289924219,"score_gpt":0.2301625940665221,"score_spread":0.2171979911672799,"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."}}