{"id":"W2057488373","doi":"10.1186/1743-0003-6-22","title":"Development of a biomechanical energy harvester","year":2009,"lang":"en","type":"article","venue":"Journal of NeuroEngineering and Rehabilitation","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC; Universities Space Research Association","keywords":"Mechanical energy; Torque; Clutch; Electricity; Energy harvesting; Electricity generation; Power (physics); Computer science; Automotive engineering; Work (physics); Wearable computer; Electrical engineering; Mechanical engineering; Engineering; Embedded system; 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":[0.0001393318,0.00008307515,0.0001524083,0.0002938738,0.00001447973,0.0000125024,0.00006805544,0.00004002045,4.187201e-7],"category_scores_gemma":[0.0001872433,0.00007179129,0.00003156746,0.0002089277,0.00002248173,0.0001909876,0.000008353119,0.0001038117,8.984258e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002485329,"about_ca_system_score_gemma":0.000009173168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.551368e-7,"about_ca_topic_score_gemma":1.215363e-7,"domain_scores_codex":[0.9993404,0.000008994335,0.0004032438,0.00005250473,0.0001065193,0.00008832828],"domain_scores_gemma":[0.9996504,0.00009144372,0.00007691822,0.00006530624,0.00009037262,0.0000256204],"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":[0.00001847382,0.00004285677,0.00007690464,0.0001144335,0.00003323752,0.000007816911,0.0005367138,0.02973794,0.8656192,0.01009685,0.0001407914,0.09357481],"study_design_scores_gemma":[0.00234884,0.004393926,0.198767,0.001506592,0.00006509785,0.0004335425,0.0006365389,0.08367388,0.6622357,0.008094713,0.03679452,0.001049712],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8960837,0.0001022681,0.1034061,0.0001195207,0.0001646671,0.00001552265,2.638821e-7,0.00007793386,0.00003003674],"genre_scores_gemma":[0.8612123,0.00001613742,0.1387269,0.000007256923,0.00002111461,6.544315e-7,2.341406e-7,0.000008058739,0.00000736362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2033835,"threshold_uncertainty_score":0.2927564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007770986074489945,"score_gpt":0.2068319255346114,"score_spread":0.1990609394601215,"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."}}