{"id":"W4237608633","doi":"10.1109/perser.2004.36","title":"Wireless Smart Implants Dedicated to Multichannel Monitoring and Microstimulation","year":2005,"lang":"en","type":"article","venue":"","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Canada Research Chairs","keywords":"Microsystem; Neural Prosthesis; Microstimulation; Computer science; Wireless; Electronic circuit; Reliability (semiconductor); Neuroprosthetics; Neural engineering; Embedded system; Electrical engineering; Engineering; Power (physics); Biomedical engineering; Materials science; Telecommunications; Medicine; Artificial intelligence","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":[0.0002196795,0.0008066265,0.0003848416,0.00043174,0.0001462302,0.000531554,0.0005942013,0.001042825,0.006023336],"category_scores_gemma":[0.0003157068,0.0002790869,0.000369486,0.000314945,0.0004058252,0.0007730121,0.0005260718,0.0005401642,0.001997801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002119747,"about_ca_system_score_gemma":0.0001810889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007234638,"about_ca_topic_score_gemma":0.0001590449,"domain_scores_codex":[0.9997976,0.00002812063,0.00001211834,0.00004311663,0.00009573071,0.00002325085],"domain_scores_gemma":[0.9998581,0.00005853885,0.00002464863,0.00001601313,0.00002590652,0.00001676451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002197581,0.00006936045,0.0005185973,0.00121842,0.00004642934,0.0006932147,0.0001600997,0.001831516,0.388498,0.02007952,0.009261207,0.5774039],"study_design_scores_gemma":[0.00006282953,0.001224887,0.003156637,0.0002688345,0.0002029189,0.01308896,0.0001052676,0.01330152,0.2867445,0.01537132,0.6663786,0.00009376754],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03116506,0.1162727,0.7969417,0.001656823,0.004272145,0.0002037052,0.0001405357,0.00121488,0.04813249],"genre_scores_gemma":[0.3641929,0.1231508,0.3524475,0.002836389,0.005123746,0.0005229859,0.000310558,0.0004244683,0.1509908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006023336,"threshold_uncertainty_score":0.02015013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03772685901828809,"score_gpt":0.2880456286403932,"score_spread":0.2503187696221051,"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."}}