{"id":"W3182131757","doi":"10.1109/access.2021.3094766","title":"A 24-Channel Neurostimulator IC With Channel-Specific Energy-Efficient Hybrid Preventive-Detective Dynamic-Precision Charge Balancing","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Channel (broadcasting); Charge (physics); Computer science; Telecommunications; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001501788,0.000444349,0.0003975661,0.0002752099,0.0003872796,0.0004172358,0.0008877691,0.00006505957,0.00004536749],"category_scores_gemma":[0.000234101,0.0003887793,0.0001458085,0.001420498,0.0001260102,0.0008122281,0.0003332123,0.0004027199,0.00004939523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001127202,"about_ca_system_score_gemma":0.00008618131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007322963,"about_ca_topic_score_gemma":0.000005356741,"domain_scores_codex":[0.9962983,0.0001716721,0.0003789819,0.001505904,0.0007958759,0.0008492594],"domain_scores_gemma":[0.9984143,0.0003474655,0.0001809888,0.0006735924,0.0001204391,0.0002631521],"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":[0.00009882076,0.0001842883,0.00001001217,0.00002586893,0.000004133366,0.001011117,0.0001316761,0.03645424,0.9603574,0.00006105049,0.0001091137,0.001552262],"study_design_scores_gemma":[0.0005394676,0.0001506754,0.0003129965,0.0001164115,0.00001058032,0.0002999965,0.00001431981,0.1516872,0.8458188,0.0001084198,0.0005376516,0.0004034876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521089,0.0001498126,0.04330787,0.0001477514,0.003342244,0.0003564998,0.00005439155,0.0002997651,0.0002327389],"genre_scores_gemma":[0.9979781,0.0002012358,0.00001691283,0.000769141,0.0001498277,0.00007350842,0.000003115551,0.00008861327,0.000719535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.115233,"threshold_uncertainty_score":0.9998564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02617688345700611,"score_gpt":0.2669712384126426,"score_spread":0.2407943549556365,"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."}}