{"id":"W1968906989","doi":"10.1109/iecon.2012.6388587","title":"Electromagnetic micro-power generator for energy harvesting from breathing","year":2012,"lang":"en","type":"article","venue":"","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Respirator; Energy harvesting; Generator (circuit theory); Electrical engineering; Computer science; Voltage; Power (physics); Energy (signal processing); Wearable computer; Breathing; Electric generator; Electronic engineering; Engineering; Materials science; Physics; Embedded system","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":[0.0001235037,0.0001706346,0.0002150052,0.0001796633,0.000145847,0.0002089177,0.0004776603,0.0002577289,0.002524101],"category_scores_gemma":[0.0001854481,0.0001083556,0.0001374388,0.0002373649,0.0001228993,0.0003654271,0.0001992678,0.0002535699,0.0007264449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001329473,"about_ca_system_score_gemma":0.0001028076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000418789,"about_ca_topic_score_gemma":0.00009570268,"domain_scores_codex":[0.9999114,0.00001513743,0.000003965954,0.00001744591,0.00004474397,0.000007289068],"domain_scores_gemma":[0.9999233,0.00002791773,0.00001160509,0.00001030572,0.00002012907,0.000006681127],"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":[0.0001784249,0.0000978296,0.0006899363,0.000450461,0.00003189177,0.0004180502,0.00009143758,0.004368073,0.8014603,0.01024076,0.005778254,0.1761945],"study_design_scores_gemma":[0.0001123807,0.001123867,0.00395501,0.00004962572,0.00005148506,0.001966988,0.00004737479,0.1190642,0.7878511,0.004997773,0.08072442,0.00005577139],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1968626,0.004528355,0.771541,0.001137174,0.0008155506,0.0003433283,0.0003723902,0.00281368,0.02158599],"genre_scores_gemma":[0.8659695,0.001031194,0.1174448,0.0002782868,0.0001375061,0.0001897015,0.0001795232,0.00007271623,0.01469678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002524101,"threshold_uncertainty_score":0.008444011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220577626001692,"score_gpt":0.2053815239315629,"score_spread":0.1931757476715459,"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."}}