{"id":"W2960456437","doi":"10.5281/zenodo.3300616","title":"Simulation-Based Optimization of a Non-Uniform Piezoelectric Energy Harvester with Stack Boundary","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Research Manitoba","keywords":"Stack (abstract data type); Piezoelectricity; Energy harvesting; Boundary (topology); Acoustics; Materials science; Mechanical engineering; Computer science; Energy (signal processing); Engineering; Physics; Mathematics; Operating system; Mathematical analysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002095669,0.0001544681,0.0001585723,0.0004434342,0.0003453401,0.0003067002,0.0004998681,0.0000786391,0.001257352],"category_scores_gemma":[0.000237148,0.000153116,0.00002586412,0.001235778,0.0001120777,0.0004523915,0.0001671955,0.0001763777,0.0002241704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001462779,"about_ca_system_score_gemma":0.000007652646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007613397,"about_ca_topic_score_gemma":3.186657e-7,"domain_scores_codex":[0.9989341,0.00005267072,0.0002420123,0.0002298657,0.0002713232,0.0002700427],"domain_scores_gemma":[0.9987852,0.00006034007,0.00009591911,0.0004084061,0.0006065775,0.00004354019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003661627,0.00003287865,0.00001650709,0.00007860547,0.00003364675,0.000001996507,0.00007413658,0.9782427,0.002012788,0.001881437,0.001050597,0.0165381],"study_design_scores_gemma":[0.0005338912,0.0002980564,0.0001832956,0.00005421903,0.000007501391,0.00000411235,0.00004420292,0.8899925,0.003983534,0.00003928245,0.1046662,0.0001932326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04875696,0.00002012204,0.9228811,0.00004471248,0.00005179976,0.0002252254,0.00004027434,0.001569632,0.02641016],"genre_scores_gemma":[0.9901611,0.00000729921,0.007915678,0.00003471171,0.00002290975,7.727831e-8,0.0005982188,0.0008811516,0.0003788833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9414041,"threshold_uncertainty_score":0.9996556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01432941773337745,"score_gpt":0.2091963316022568,"score_spread":0.1948669138688794,"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."}}