{"id":"W2174187647","doi":"10.3390/s151128889","title":"Power Approaches for Implantable Medical Devices","year":2015,"lang":"en","type":"review","venue":"Sensors","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":422,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Biotelemetry; Reliability (semiconductor); Wireless; Health care; Risk analysis (engineering); Medical device; Systems engineering; Reliability engineering; Power (physics); Engineering; Medicine; Biomedical engineering; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004906672,0.0004496253,0.001341031,0.0001039018,0.00004182429,0.00004625771,0.0004134207,0.0007557833,0.0000416823],"category_scores_gemma":[0.0001164951,0.0003717955,0.000261899,0.0001898453,0.00004552822,0.0000423565,0.00005460921,0.00048536,0.00008234107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001110034,"about_ca_system_score_gemma":0.0001386547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004614475,"about_ca_topic_score_gemma":0.00002050056,"domain_scores_codex":[0.998311,0.00006327074,0.0004793293,0.0003168262,0.0003323582,0.0004971448],"domain_scores_gemma":[0.9988364,0.0004203295,0.00009268106,0.0003603237,0.00003383914,0.0002564164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001566633,0.00001125951,0.000001018585,0.01899839,0.0003604869,0.00002016023,0.00005924395,0.02647031,7.793109e-9,0.0007203167,0.04081591,0.9125413],"study_design_scores_gemma":[0.00008111243,0.00001143489,9.544264e-8,0.004879576,0.000160626,0.0001235858,0.00001374905,0.0140404,2.293502e-7,0.00001966602,0.9802661,0.0004034048],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001223039,0.9776765,0.0002522018,0.000003691165,0.0009970005,0.0003486224,0.00005262503,0.0005178401,0.02013928],"genre_scores_gemma":[0.0000246327,0.996841,0.001062133,0.00001007771,0.0006893554,0.0001417702,0.0002383707,0.0002145762,0.0007780797],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9394502,"threshold_uncertainty_score":0.9998734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0808946386945561,"score_gpt":0.2986077202284367,"score_spread":0.2177130815338806,"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."}}