{"id":"W1851513599","doi":"10.3968/j.est.1923847920130502.2407","title":"Modeling and Simulation for PVDF-based Pyroelectric Energy Harvester","year":2013,"lang":"en","type":"article","venue":"Energy science and technology","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pyroelectricity; Energy harvesting; Materials science; Voltage; Electric potential energy; Duty cycle; Thermal; Thermal energy; Electric power; Energy (signal processing); Optoelectronics; Power (physics); Electrical engineering; Dielectric; Engineering; Ferroelectricity; Physics; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001683916,0.0003806476,0.0006411973,0.0003005155,0.0005257823,0.0007328783,0.0009323544,0.00157247,0.004301842],"category_scores_gemma":[0.0005365683,0.0003445988,0.0007778484,0.0004358206,0.0004177986,0.0007626743,0.0003774261,0.0005888116,0.0005919737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008374858,"about_ca_system_score_gemma":0.0008890926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01425445,"about_ca_topic_score_gemma":0.006084765,"domain_scores_codex":[0.999896,0.00001961468,0.000004655176,0.00001596128,0.00004037549,0.00002325321],"domain_scores_gemma":[0.9998407,0.00006922438,0.0000206537,0.0000124717,0.00004602809,0.00001093232],"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":[0.00001641073,0.00001457464,0.0003484339,0.00002592592,0.000005714297,0.00005300172,0.00002243718,0.9940014,0.001988929,0.002135881,0.0002093398,0.001178024],"study_design_scores_gemma":[0.000003481174,0.000004558412,0.0000588476,0.000002174665,0.000001296986,0.000005445257,0.000004885438,0.9991394,0.0002259338,0.0002450513,0.000306555,0.000002313773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3817818,0.001653826,0.4986257,0.001680893,0.0002667255,0.0002326478,0.001789725,0.001175488,0.1127931],"genre_scores_gemma":[0.9611116,0.0006986822,0.02018355,0.0001184322,0.00002888222,0.0003319072,0.0004298211,0.0001002523,0.01699683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01425445,"threshold_uncertainty_score":0.02834296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084282792804088,"score_gpt":0.2159461004126119,"score_spread":0.205103272484571,"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."}}