{"id":"W2961990098","doi":"10.1098/rsos.182021","title":"Generating electricity while walking with a medial–lateral oscillating load carriage device","year":2019,"lang":"en","type":"article","venue":"Royal Society Open Science","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Backpack; Energy harvesting; Electricity; Computer science; Mechanical energy; Energy (signal processing); Power (physics); Simulation; Electrical engineering; Environmental science; Automotive engineering; Engineering; Physics; Structural engineering","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":[0.001567698,0.0002334621,0.0002579,0.00004691664,0.0005496518,0.0006126066,0.001651375,0.00009557025,0.00005066624],"category_scores_gemma":[0.0002495141,0.0001982504,0.00004355893,0.001887021,0.0002541292,0.0007562616,0.0007427979,0.0004040057,0.0000289372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005858099,"about_ca_system_score_gemma":0.0003049276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003268008,"about_ca_topic_score_gemma":0.00005913561,"domain_scores_codex":[0.9978124,0.00002052248,0.0002574242,0.000534724,0.000664089,0.0007107792],"domain_scores_gemma":[0.9990422,0.00009181969,0.00009664803,0.0004184632,0.0002830105,0.00006791796],"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":[0.000008217962,0.00002026705,0.03779307,0.0000958339,0.00006069747,0.000009482408,0.00428334,0.4770366,0.4643719,0.002077311,0.001235506,0.01300769],"study_design_scores_gemma":[0.0005162496,0.00008728905,0.006776978,0.000137799,0.000008286885,0.000008857185,0.0005803875,0.906512,0.08373577,0.00008815754,0.0009375649,0.0006107122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788145,0.00004868946,0.00288721,0.00005068913,0.0002569893,0.0003090108,0.000002551145,0.0006072999,0.0170231],"genre_scores_gemma":[0.9164549,0.000002504187,0.08296789,0.0001632248,0.00007001384,0.00002312274,0.000001828375,0.00002994011,0.0002865366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4294753,"threshold_uncertainty_score":0.8084416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447282136032278,"score_gpt":0.2429874094405276,"score_spread":0.2285145880802048,"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."}}