{"id":"W2106162176","doi":"10.1109/tbcas.2007.893181","title":"Brain–Silicon Interface for High-Resolution <i>in vitro</i> Neural Recording","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Circuits and Systems","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University of Toronto","funders":"CMC Microsystems","keywords":"Interface (matter); CMOS; Channel (broadcasting); Materials science; Brain–computer interface; Computer science; Electronic engineering; Optoelectronics; Neuroscience; Engineering; Electroencephalography; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0005275847,0.0001767587,0.0002381241,0.0003312241,0.000215807,0.00007787302,0.000164183,0.0001169682,0.00000372],"category_scores_gemma":[0.00007650805,0.0001555348,0.00006273082,0.0005147738,0.0001446943,0.0002229891,0.000001796457,0.0002764363,0.000005573903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006577899,"about_ca_system_score_gemma":0.00001539002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007441176,"about_ca_topic_score_gemma":0.000007799006,"domain_scores_codex":[0.9981999,0.00006082072,0.0004109441,0.0005213035,0.0003069273,0.0005001176],"domain_scores_gemma":[0.998837,0.0007229552,0.00006095997,0.0001510459,0.00001489589,0.0002131228],"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":[0.0000543367,0.00006947405,0.000001234763,0.00005044759,0.000001307741,0.00001632549,0.00006270525,0.0005922332,0.9705387,0.0001301606,0.00004480415,0.02843832],"study_design_scores_gemma":[0.001021249,0.0003966118,0.00004885242,0.00008641004,0.000007295372,0.0001339306,0.00007459118,0.07590967,0.9199898,0.00002578584,0.002059421,0.0002463344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.581075,0.00004078438,0.4142356,0.000557095,0.003436543,0.0004602084,0.0000417312,0.0001067491,0.00004627185],"genre_scores_gemma":[0.999128,0.00002163288,0.00001075099,0.0004428601,0.0001154065,0.00004300354,8.445488e-7,0.00002104555,0.0002164526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.418053,"threshold_uncertainty_score":0.6342527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03826681536031645,"score_gpt":0.2784513443041207,"score_spread":0.2401845289438043,"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."}}