{"id":"W2916363139","doi":"10.1109/tnsre.2019.2900455","title":"Arbitrary-Waveform Electro-Optical Intracranial Neurostimulator With Load-Adaptive High-Voltage Compliance","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Waveform; Voltage; Electrical impedance; Amplitude; Power (physics); Optical power; Electrical engineering; Materials science; Acoustics; Computer science; Physics; Engineering; Optics","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":[0.0002059346,0.0003633657,0.0002713155,0.0003342598,0.0001560643,0.0003680864,0.001136253,0.0003796394,0.003156206],"category_scores_gemma":[0.0003401403,0.0002280646,0.0001737929,0.0003483971,0.0002021383,0.0004482709,0.0005592576,0.0002448455,0.0009451353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002989581,"about_ca_system_score_gemma":0.0003182743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002066584,"about_ca_topic_score_gemma":0.0006080185,"domain_scores_codex":[0.9997907,0.00001694071,0.00001679124,0.00004538324,0.0001106367,0.00001952452],"domain_scores_gemma":[0.9998172,0.00003667004,0.00004973456,0.00003012612,0.00004738239,0.00001895211],"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":[0.0001376146,0.00004902243,0.0003054228,0.0001970627,0.00001649913,0.0001313551,0.00005236163,0.0005649423,0.9310067,0.0009597939,0.001755706,0.06482352],"study_design_scores_gemma":[0.000104369,0.001008672,0.006786149,0.00005872515,0.000107317,0.003229125,0.00003763,0.03318819,0.9034446,0.0008973141,0.05104614,0.00009177398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2778542,0.002012286,0.69644,0.000539632,0.0004381562,0.0005287194,0.000737168,0.006585751,0.01486406],"genre_scores_gemma":[0.6573462,0.0009391067,0.3273365,0.0004644622,0.0001610244,0.0006215964,0.0003760035,0.000430765,0.01232424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003156206,"threshold_uncertainty_score":0.01055861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246470453398986,"score_gpt":0.2148280155201026,"score_spread":0.2023633109861128,"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."}}