{"id":"W3164541630","doi":"10.1139/tcsme-2021-0046","title":"Energy harvesting from car suspension using a single magnet device","year":2021,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electricity; Automotive engineering; Energy harvesting; Vibration; Magnet; Suspension (topology); Acceleration; Energy (signal processing); Engineering; Computer science; Electrical engineering; Mathematics; Acoustics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001033437,0.0001886782,0.0002235891,0.00005785027,0.0002079718,0.00003568586,0.0002629847,0.0002303778,0.00002764038],"category_scores_gemma":[0.0001102434,0.0001980197,0.0003198196,0.0006509307,0.00003830309,0.000119999,0.00001645229,0.000272768,3.480427e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005515669,"about_ca_system_score_gemma":0.0001664466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01807079,"about_ca_topic_score_gemma":0.04332732,"domain_scores_codex":[0.9990001,0.00001004939,0.0002776113,0.0002007383,0.0001316381,0.0003799175],"domain_scores_gemma":[0.9992172,0.0001487412,0.00003723726,0.000349386,0.0001439102,0.0001035867],"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":[8.180478e-7,0.000007407462,0.000001680071,0.00005390438,0.0001286825,0.00000188976,0.00005849352,0.4857516,0.5089771,0.002707545,0.00007003667,0.002240855],"study_design_scores_gemma":[0.0001515865,0.000008813654,0.00001412878,0.000108512,0.00006310625,0.000009126356,0.000124642,0.5263298,0.469938,0.0003257653,0.002740319,0.00018625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1999899,0.000360253,0.797602,0.0002213413,0.0009359948,0.0001231727,0.0001999865,0.0004929944,0.00007432805],"genre_scores_gemma":[0.8653636,0.000007166665,0.1343634,0.00006178323,0.00005115174,0.00001581728,0.00001209591,0.00006219256,0.00006274207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6653737,"threshold_uncertainty_score":0.9884679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02527309573541406,"score_gpt":0.203201733618853,"score_spread":0.177928637883439,"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."}}