{"id":"W4315779654","doi":"10.1016/j.crmeth.2022.100385","title":"High-throughput combined voltage-clamp/current-clamp analysis of freshly isolated neurons","year":2023,"lang":"en","type":"article","venue":"Cell Reports Methods","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of General Medical Sciences; Yale University; National Institutes of Health; Rehabilitation Research and Development Service; Paralyzed Veterans of America; Canadian Institutes of Health Research; U.S. Department of Veterans Affairs","keywords":"Patch clamp; Voltage clamp; Current clamp; Dorsal root ganglion; Clamp; Electrophysiology; Pipette; Neuroscience; Sodium channel; Clamping; Chemistry; Computer science; Biophysics; Biology; Sodium; Spinal cord","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002500811,0.0003739787,0.0009057183,0.00163497,0.0003961628,0.00008930875,0.0007963286,0.0001412724,0.0004655347],"category_scores_gemma":[0.003411055,0.0003453676,0.0004712983,0.01119721,0.0007114427,0.0002880137,0.0006285615,0.0007896845,0.0001063758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003672228,"about_ca_system_score_gemma":0.0002689052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003036408,"about_ca_topic_score_gemma":0.000002716483,"domain_scores_codex":[0.9933687,0.001879356,0.00115675,0.00165663,0.000922201,0.001016375],"domain_scores_gemma":[0.9948363,0.002613635,0.0007068208,0.001324486,0.0001701042,0.0003486043],"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":[0.0000721884,0.0002752966,0.001817601,0.00004559284,0.00003717247,0.001937706,0.0001134303,0.0006518835,0.9875634,0.00007833768,0.003065076,0.004342287],"study_design_scores_gemma":[0.0003772344,0.0003013699,0.005267992,0.000007400193,0.0004150176,0.00004589645,0.00001255698,0.0136723,0.9684778,0.0005534409,0.01057342,0.0002955818],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873091,0.00006481577,0.006136762,0.000289049,0.00395976,0.0006291397,0.00003835171,0.000455089,0.001117964],"genre_scores_gemma":[0.9905051,0.0006252573,0.0008732406,0.0005461649,0.00007231276,0.00006996418,0.00001580102,0.00007581165,0.00721632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01908564,"threshold_uncertainty_score":0.9998998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09034858750955398,"score_gpt":0.4281281130194,"score_spread":0.337779525509846,"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."}}