{"id":"W2017740970","doi":"10.1117/12.2084468","title":"Vibration energy harvesting from a nonlinear standing beam-mass system using a two-mode approximation","year":2015,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Phase portrait; Nonlinear system; Vibration; Beam (structure); Discretization; Mode (computer interface); Displacement (psychology); Physics; Linear approximation; Normal mode; Control theory (sociology); Buckling; Equations of motion; Mechanics; Classical mechanics; Mathematical analysis; Mathematics; Optics; Acoustics; Bifurcation; Computer science; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006885898,0.0004315611,0.0005096162,0.0002258453,0.0001073645,0.0002149484,0.0008395308,0.0002705876,0.000001657054],"category_scores_gemma":[0.0008969291,0.0004040033,0.0003044002,0.0006922711,0.0001758158,0.001149658,0.000165162,0.0003648793,8.063008e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007687013,"about_ca_system_score_gemma":0.00005296458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009793536,"about_ca_topic_score_gemma":6.902666e-7,"domain_scores_codex":[0.9974027,3.849642e-8,0.000937118,0.0004125543,0.0007823937,0.0004652566],"domain_scores_gemma":[0.997344,0.0001509368,0.0004622796,0.00009277904,0.001833044,0.0001169901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003284889,0.00002636531,0.0001318146,0.0003122897,0.0002963445,1.726442e-7,0.0001787968,0.03134782,0.6570127,0.3101214,0.0002731223,0.0002663484],"study_design_scores_gemma":[0.0006735933,0.00006107553,0.00003375896,0.0004842679,0.00007774293,0.000008505712,0.001775925,0.6613582,0.3335608,0.001347595,0.0003146424,0.0003039154],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836696,0.00009210951,0.01254519,0.0001704783,0.0004571422,0.0003124298,0.00008618712,0.0008005924,0.00186629],"genre_scores_gemma":[0.5424073,0.000009406909,0.456854,0.00001662412,0.0004722444,0.00009272536,0.0000270915,0.00009544718,0.00002515329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6300104,"threshold_uncertainty_score":0.9998412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02261676382940989,"score_gpt":0.2376413442257179,"score_spread":0.215024580396308,"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."}}