{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000388917,0.0003248329,0.0004920474,0.00008104752,0.00009679545,0.0001291298,0.0002767411,0.0002002088,0.00006543292],"category_scores_gemma":[0.0000042329,0.0003080763,0.00001898366,0.00009464157,0.00003442142,0.0001936954,0.00008417317,0.00009381375,0.0002305763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001169419,"about_ca_system_score_gemma":0.000006544427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001718283,"about_ca_topic_score_gemma":0.000003221423,"domain_scores_codex":[0.9983925,0.00002048135,0.0004470565,0.0002235276,0.000139712,0.0007767155],"domain_scores_gemma":[0.9993544,0.0001107212,0.00008728824,0.0003217039,0.00002848445,0.00009735308],"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":[0.00006647118,0.00001667891,0.00003687819,0.0006905824,0.000109699,6.384274e-7,0.0002698152,0.001620147,0.987291,0.002910994,0.006007316,0.0009797292],"study_design_scores_gemma":[0.0003225815,0.00001431164,0.00004096361,0.00008458058,0.00004459108,0.00002396446,0.0005599688,0.0000746095,0.9971924,0.00002585551,0.001258097,0.0003581065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898661,0.000287488,0.0006483861,0.000005561218,0.002623533,0.0005919263,0.0002030503,0.0008897174,0.004884193],"genre_scores_gemma":[0.9978957,0.00003359062,0.000524343,0.0000148369,0.000929761,0.0003421673,0.00006082057,0.0001292513,0.00006952813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009901319,"threshold_uncertainty_score":0.9999371,"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."}}