{"id":"W2090745390","doi":"10.1016/s0165-0270(03)00143-2","title":"Capabilities of a penetrating microelectrode array for recording single units in dorsal root ganglia of the cat","year":2003,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health","keywords":"Microelectrode; Multielectrode array; Dorsal root ganglion; Sensory system; Electrode array; Biomedical engineering; Ganglion; Dorsum; Electrophysiology; Ankle; Electrode; Neuroscience; Anatomy; Chemistry; Medicine; Biology","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":[0.0003471968,0.0002109631,0.0002135143,0.0001592119,0.0001778747,0.0004621998,0.0005350559,0.0006830599,0.0006658289],"category_scores_gemma":[0.0009851181,0.0003131737,0.0001798271,0.0002209606,0.0003485024,0.001046717,0.0005477789,0.000419312,0.0002830137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001314904,"about_ca_system_score_gemma":0.0002945269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007554646,"about_ca_topic_score_gemma":0.0008049675,"domain_scores_codex":[0.9998572,0.00001601779,0.00001160524,0.00004073188,0.0000561773,0.00001830077],"domain_scores_gemma":[0.9993999,0.0003265506,0.00004441793,0.00007136184,0.0001054932,0.00005229226],"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":[0.0001118487,0.000007601854,0.0006994862,0.00009154858,0.00001175865,0.00009933572,0.0001388477,0.0006022779,0.9752736,0.0003494541,0.00007649105,0.02253779],"study_design_scores_gemma":[0.00006388858,0.002145728,0.02543168,0.0000784763,0.0002835019,0.004225518,0.000358778,0.03255043,0.9237463,0.003297699,0.007753072,0.00006485762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7895611,0.002637331,0.2035485,0.0005403327,0.00005965958,0.00005939208,0.0004772614,0.0005448126,0.002571627],"genre_scores_gemma":[0.8962636,0.001653693,0.09994149,0.0002362024,0.00003873265,0.00005296428,0.0002222875,0.00003505118,0.001555971],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0007554646,"threshold_uncertainty_score":0.002227485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09477826755192618,"score_gpt":0.3515216524848496,"score_spread":0.2567433849329234,"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."}}