{"id":"W2008340661","doi":"10.1109/mssc.2011.942453","title":"“Brain-Machine-Brain Wireless Interfaces for Intracortical Biosensing and Subsequent Treatments” in Talk by DL Mohamad Sawan at SSCS-New York and Santa Clara in May and June [People]","year":2011,"lang":"en","type":"article","venue":"IEEE Solid-State Circuits Magazine","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canada Research Chairs; Polytechnique Montréal","keywords":"Wireless; Electronic circuit; Interconnection; Electrical engineering; Transceiver; Telecommunications; Engineering; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002754893,0.0003639389,0.0004906177,0.0002160423,0.0000640764,0.00006920187,0.000147816,0.0001698189,0.00001451822],"category_scores_gemma":[0.00003607643,0.0003730692,0.00003876318,0.0002724883,0.0001350882,0.0001413303,0.00008300295,0.000284361,0.000005221227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001291966,"about_ca_system_score_gemma":0.00002182933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001941894,"about_ca_topic_score_gemma":0.005041393,"domain_scores_codex":[0.9983025,0.0001066251,0.0005365713,0.0004252609,0.0001211631,0.0005079232],"domain_scores_gemma":[0.9990878,0.0002159164,0.00007745432,0.0003495293,0.00002242789,0.0002469197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000366344,0.0004112979,0.02360191,0.0005061661,0.0003770016,0.0002118079,0.0135639,0.0007890809,0.7505432,0.0002051825,0.02069053,0.1887336],"study_design_scores_gemma":[0.03691144,0.001575546,0.189037,0.002281208,0.0004715555,0.001095923,0.001008856,0.3689554,0.3602342,0.003666272,0.02876759,0.005995014],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98969,0.006192679,0.002353894,0.000468224,0.0001884333,0.0006358454,0.00005876564,0.00009415198,0.0003180093],"genre_scores_gemma":[0.9971485,0.001673722,0.0003360566,0.0001961901,0.00002756964,0.00003139405,0.00006734359,0.00007703481,0.0004422078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.390309,"threshold_uncertainty_score":0.9998721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02378313325638803,"score_gpt":0.2456671700763974,"score_spread":0.2218840368200094,"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."}}