{"id":"W2128348357","doi":"10.1109/iembs.1995.579879","title":"A secure communication protocol for externally controlled implantable devices","year":2002,"lang":"en","type":"article","venue":"","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Retransmission; Computer science; Protocol (science); Forward error correction; Wireless; Error detection and correction; CMOS; Embedded system; Computer hardware; Automatic repeat request; Electronic engineering; Computer network; Engineering; Network packet; Throughput; Telecommunications; Decoding methods; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0001010886,0.0001083148,0.0001563923,0.00005169035,0.0001972235,0.0001117769,0.000386409,0.00002794232,0.000161263],"category_scores_gemma":[0.0001706669,0.00007935825,0.00006265865,0.0001501714,0.00003314183,0.0003650399,0.00004638138,0.0000827793,0.00004425686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001029751,"about_ca_system_score_gemma":0.000005548123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003845894,"about_ca_topic_score_gemma":0.000005998456,"domain_scores_codex":[0.9991292,0.00003785263,0.0001930284,0.0002376471,0.0001539953,0.000248244],"domain_scores_gemma":[0.9992927,0.0003105754,0.00007152962,0.0002479031,0.0000192081,0.00005811928],"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":[0.0001634583,0.0001099327,0.00004546595,0.00005065664,0.000001521738,0.000003845633,0.00007991874,0.00009086425,0.9886146,0.00496881,0.004317306,0.001553672],"study_design_scores_gemma":[0.006227616,0.0002139393,0.00004284169,0.00003943426,0.000005765321,0.00007780863,0.00001123678,0.1090056,0.7815567,0.0003457393,0.1022462,0.0002270772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.1064194,0.00003331089,0.006493882,0.003793538,0.0004455029,0.7431743,0.00003691395,0.00147363,0.1381295],"genre_scores_gemma":[0.7039583,0.000006873466,0.0006353945,0.002326565,0.00003973446,0.2873777,2.926539e-7,0.00001906679,0.005636136],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.5975388,"threshold_uncertainty_score":0.3236136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09130805207515617,"score_gpt":0.3314768821414093,"score_spread":0.2401688300662531,"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."}}