{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004360529,0.0008964135,0.0008156772,0.002606359,0.0004227542,0.001175198,0.0007987409,0.001537381,0.006103182],"category_scores_gemma":[0.000596881,0.0004395288,0.0006769203,0.002021706,0.0007031548,0.001900745,0.000913264,0.001964695,0.003253138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005199031,"about_ca_system_score_gemma":0.000501845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003738157,"about_ca_topic_score_gemma":0.0004764618,"domain_scores_codex":[0.9996642,0.00004087016,0.00003811065,0.00006294576,0.0001718394,0.00002198055],"domain_scores_gemma":[0.9997289,0.0001470559,0.00003700693,0.00001541694,0.00006145203,0.00001004465],"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":[0.00003955097,0.00009233895,0.0001549269,0.01795383,0.00006309441,0.0003910285,0.0001716054,0.001228088,0.01722079,0.04476867,0.01706524,0.9008508],"study_design_scores_gemma":[0.000004798901,0.00007907814,0.0002549436,0.001941085,0.00003123677,0.001262653,0.00007304012,0.0003660434,0.003907897,0.009922425,0.9821334,0.00002327043],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00044315,0.9871004,0.00338915,0.0003968675,0.0004181545,0.00002187142,0.00002785614,0.00002619714,0.008176413],"genre_scores_gemma":[0.005439167,0.9847127,0.003313792,0.0003357129,0.00033798,0.00003878485,0.00004852986,0.00001085947,0.005762542],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006103182,"threshold_uncertainty_score":0.02041721,"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."}}