{"id":"W4316663225","doi":"10.1016/j.yebeh.2022.109072","title":"Intermittency properties in a temporal lobe epilepsy model","year":2023,"lang":"en","type":"article","venue":"Epilepsy & Behavior","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Optogenetics; Neuroscience; Epilepsy; Arc (geometry); Asynchronous communication; Intermittency; Biological neural network; Synchronization (alternating current); Status epilepticus; Premovement neuronal activity; Biology; Computer science; Physics","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":[0.0001686105,0.0003583815,0.0004013073,0.0004319907,0.0002411376,0.00047047,0.0005113778,0.0007434892,0.001610942],"category_scores_gemma":[0.0004568164,0.0001483495,0.0004721043,0.000186722,0.0004289068,0.0006086697,0.0003123831,0.0004342942,0.0001048846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003272702,"about_ca_system_score_gemma":0.0003621627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003264424,"about_ca_topic_score_gemma":0.002306015,"domain_scores_codex":[0.999962,0.00001072257,0.000002298247,0.000006829166,0.000008636102,0.000009677492],"domain_scores_gemma":[0.9998022,0.00005749302,0.00006272468,0.00001555838,0.00001998713,0.00004209819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006352093,0.0004145575,0.004824001,0.0001644049,0.0001672783,0.001674335,0.0001673399,0.6580656,0.1387784,0.1852241,0.002402339,0.007482362],"study_design_scores_gemma":[0.00002994027,0.00004946513,0.001298391,0.000003468211,0.00001911176,0.00008045616,0.00001397785,0.9872355,0.0008390819,0.0102153,0.0002035707,0.00001168348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9347764,0.0003095974,0.05182301,0.0006776891,0.00004791328,0.00003271499,0.0003391979,0.000185074,0.01180848],"genre_scores_gemma":[0.992677,0.0001478383,0.002919276,0.0000341162,0.0000174934,0.00002272972,0.0000912305,0.00002609384,0.004064248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003264424,"threshold_uncertainty_score":0.006490827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.117980670146166,"score_gpt":0.3444489093293931,"score_spread":0.2264682391832272,"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."}}