{"id":"W2767802697","doi":"10.1111/epi.13905","title":"Methodological standards and functional correlates of depth in vivo electrophysiological recordings in control rodents. A <scp>TASK</scp>1‐<scp>WG</scp>3 report of the <scp>AES</scp>/<scp>ILAE</scp> Translational Task Force of the ILAE","year":2017,"lang":"en","type":"article","venue":"Epilepsia","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; National Institute for Health and Care Research; Canadian Institutes of Health Research; U.S. Department of Defense; Fundação de Amparo à Pesquisa do Estado de São Paulo; GlaxoSmithKline Japan","keywords":"In vivo; Electrophysiology; Task (project management); Neuroscience; Pharmacology; Medicine; Psychology; Biology; Engineering; Biotechnology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03578812,0.001190692,0.0007624537,0.001805825,0.002650063,0.002749589,0.004134439,0.003519824,0.001695526],"category_scores_gemma":[0.04760544,0.0008681886,0.001107183,0.001246436,0.003848256,0.00159189,0.002601073,0.002681679,0.001149814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008738009,"about_ca_system_score_gemma":0.002079387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001421716,"about_ca_topic_score_gemma":0.004573476,"domain_scores_codex":[0.9690169,0.01255091,0.007912287,0.002933723,0.006638376,0.0009477898],"domain_scores_gemma":[0.9457432,0.007742913,0.0085758,0.02162839,0.01542544,0.000884327],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002760621,0.000962554,0.01386348,0.002623482,0.0003192421,0.0007730718,0.002454787,0.001914575,0.894865,0.02232368,0.005041706,0.05209769],"study_design_scores_gemma":[0.0008654203,0.00594201,0.1186405,0.002391221,0.001232849,0.00678574,0.001914302,0.008064923,0.7510006,0.02366972,0.07924739,0.000245365],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1069069,0.003725094,0.8670035,0.001670621,0.001442276,0.006360329,0.002157386,0.0006753887,0.01005843],"genre_scores_gemma":[0.2473866,0.002871882,0.708113,0.002637919,0.0005012277,0.02973231,0.003346402,0.0008210583,0.004589543],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9642119,"threshold_uncertainty_score":0.1892679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07508942112769543,"score_gpt":0.3489755964312511,"score_spread":0.2738861753035557,"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."}}