{"id":"W2081874733","doi":"10.1126/science.1149860","title":"Biomechanical Energy Harvesting: Generating Electricity During Walking with Minimal User Effort","year":2008,"lang":"en","type":"article","venue":"Science","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":763,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Electricity; Electricity generation; Automotive engineering; Work (physics); Generator (circuit theory); Electric generator; Mechanical energy; Swing; Power (physics); Energy harvesting; Regenerative brake; Computer science; Engineering; Simulation; Electrical engineering; Mechanical engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001803312,0.0001717763,0.0001887613,0.0001598971,0.0001372249,0.0002506504,0.0003709626,0.000205654,0.00158374],"category_scores_gemma":[0.0003999685,0.0001084071,0.0001318759,0.000146959,0.0002085551,0.0004075904,0.0003074533,0.000141571,0.0003628935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000613577,"about_ca_system_score_gemma":0.00009598244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001205136,"about_ca_topic_score_gemma":0.0002726915,"domain_scores_codex":[0.9999075,0.00001647276,0.000006816977,0.00001926853,0.00004002207,0.000009968228],"domain_scores_gemma":[0.9999099,0.00003514951,0.00001431345,0.00001208188,0.00001745581,0.00001119617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002008405,0.0001405973,0.001288087,0.000182735,0.0000106978,0.0001404195,0.00009696224,0.001125631,0.8822816,0.0007995168,0.0005868157,0.1131461],"study_design_scores_gemma":[0.0001687738,0.003229227,0.0255393,0.00008341491,0.00009265554,0.002124805,0.0001915827,0.04370013,0.8972574,0.003417245,0.0240867,0.000108763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5893018,0.0007370063,0.4027369,0.0003459258,0.00009650082,0.0001896518,0.0001467233,0.000652778,0.005792753],"genre_scores_gemma":[0.8979488,0.0003677731,0.09796299,0.0001326239,0.00003981022,0.0001322168,0.0001231675,0.00006173948,0.003230791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00158374,"threshold_uncertainty_score":0.005298078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365702067206729,"score_gpt":0.206603231216204,"score_spread":0.1929462105441367,"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."}}