{"id":"W2254007745","doi":"10.1002/cta.2181","title":"A high‐voltage stimulation chip for wearable stroke rehabilitation systems","year":2015,"lang":"en","type":"article","venue":"International Journal of Circuit Theory and Applications","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Shenzhen Peacock Plan; Science and Technology Commission of Shanghai Municipality","keywords":"Microcontroller; Chip; SIGNAL (programming language); Voltage; Wearable computer; Channel (broadcasting); Stimulation; Electrical engineering; Electronic circuit; Interface (matter); Computer science; Electronic engineering; Engineering; Computer hardware; Embedded system; Neuroscience; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001134975,0.0002134709,0.0002169119,0.0001597437,0.0001326403,0.0002618381,0.0006086775,0.0003696844,0.003405812],"category_scores_gemma":[0.0001883806,0.0001110385,0.0001492868,0.0001057025,0.0001183633,0.0002491144,0.0002803828,0.0002239051,0.001005114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002118296,"about_ca_system_score_gemma":0.0002965644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001976208,"about_ca_topic_score_gemma":0.0003083936,"domain_scores_codex":[0.9998723,0.00001612223,0.000008872076,0.00002666792,0.00005491004,0.0000211255],"domain_scores_gemma":[0.9998584,0.00002742385,0.00002171073,0.00001226838,0.00006170531,0.00001849488],"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":[0.0001332367,0.00004106918,0.0004556915,0.0002701925,0.00002671365,0.0002296421,0.0000493165,0.0009840647,0.9321164,0.000613603,0.002423337,0.0626567],"study_design_scores_gemma":[0.0000821305,0.001992871,0.01171171,0.0000847191,0.00009747789,0.002373459,0.00007109925,0.03046003,0.9172437,0.0006529815,0.03517159,0.00005837759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5447197,0.005089164,0.4257727,0.0009727954,0.0008020207,0.0004167572,0.0005916443,0.004120327,0.01751494],"genre_scores_gemma":[0.934662,0.0005252499,0.0577004,0.0003339857,0.0001120046,0.000148342,0.0001192324,0.00004202859,0.006356855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003405812,"threshold_uncertainty_score":0.01139355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0367404952532779,"score_gpt":0.2970570259541567,"score_spread":0.2603165307008788,"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."}}