{"id":"W35357813","doi":"10.1021/acsami.2c00742","title":"Wireless Telemetry System for Implantable Sensors","year":2012,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Guangxi Province; National Natural Science Foundation of China; Natural Science Foundation of Heilongjiang Province; CMC Microsystems","keywords":"Telemetry; Wireless; Computer science; Biotelemetry; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002620771,0.000505765,0.0003241094,0.0004241435,0.000311347,0.0005368323,0.0007693821,0.0006646205,0.01127226],"category_scores_gemma":[0.0003755268,0.0001400198,0.000216718,0.0003243313,0.0001904527,0.001004978,0.0005496487,0.0003830147,0.003941955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004234728,"about_ca_system_score_gemma":0.0002602321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001923307,"about_ca_topic_score_gemma":0.0002727417,"domain_scores_codex":[0.9997751,0.00003809504,0.00001445368,0.00005333872,0.00009440193,0.00002462175],"domain_scores_gemma":[0.999838,0.00003575212,0.00003120241,0.00003220019,0.00004906306,0.00001370278],"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":[0.000602442,0.0001719177,0.00370203,0.0005076029,0.00006080878,0.0007344322,0.0002856659,0.004088162,0.5644624,0.01680131,0.02800934,0.3805739],"study_design_scores_gemma":[0.0001553468,0.001453844,0.006814966,0.0001750848,0.0001908985,0.004195641,0.0003331112,0.1458143,0.5735331,0.008451931,0.2587546,0.0001272595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09757037,0.003813678,0.8449074,0.002498885,0.001379768,0.0003513676,0.001099439,0.00907821,0.03930086],"genre_scores_gemma":[0.7811153,0.001811212,0.1690404,0.00115267,0.0002905184,0.000369469,0.0007510482,0.0001817464,0.04528762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01127226,"threshold_uncertainty_score":0.03770941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009933133086282514,"score_gpt":0.212901691318153,"score_spread":0.2029685582318705,"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."}}