{"id":"W2094720106","doi":"10.1109/icorr.2013.6650409","title":"Development of an energy harvesting backpack and performance evaluation","year":2013,"lang":"en","type":"article","venue":"","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Backpack; Energy harvesting; Work (physics); Electricity; Mechanical energy; Electric potential energy; Energy (signal processing); Computer science; Electricity generation; Automotive engineering; Power (physics); Environmental science; Simulation; Electrical engineering; Engineering; Mechanical engineering; Mathematics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001999563,0.00008066813,0.00007614207,0.00008455526,0.00003666437,0.00001795669,0.00007592156,0.00004401862,0.00005836757],"category_scores_gemma":[0.0000552513,0.00007304399,0.000003960748,0.0001568099,0.00003421247,0.0003621248,0.00003494444,0.00004326979,0.000005575624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000031472,"about_ca_system_score_gemma":0.00001710455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002627826,"about_ca_topic_score_gemma":0.00002278356,"domain_scores_codex":[0.9994922,0.000008363943,0.0001816556,0.00008814703,0.0001148328,0.0001148219],"domain_scores_gemma":[0.999699,0.00001563308,0.00002820373,0.0001142103,0.0001261147,0.00001681215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[5.38224e-7,0.000006626371,0.001165648,0.00002981358,0.00001277039,6.74047e-8,0.0001539391,0.004813884,0.06865514,0.003259507,0.00004690392,0.9218552],"study_design_scores_gemma":[0.0001131606,0.00002146095,0.0931415,0.00003017819,0.000002275494,0.000001839231,0.0001287825,0.4787024,0.4270335,0.0002468261,0.0004449704,0.0001330986],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850386,0.0000224405,0.004670001,0.000006272053,0.00003741548,0.0000475732,1.199148e-7,0.0003583021,0.00981927],"genre_scores_gemma":[0.8063937,0.000002981699,0.1934469,0.000006136171,0.00000723047,0.0000306651,0.000004093185,0.0000098565,0.00009847049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9217221,"threshold_uncertainty_score":0.2978648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02598985649317014,"score_gpt":0.2250988206967804,"score_spread":0.1991089642036102,"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."}}