{"id":"W4221048729","doi":"10.1093/sleep/zsac062","title":"Sleep–wake states change the interictal localization of candidate epileptic source generators","year":2022,"lang":"en","type":"article","venue":"SLEEP","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; CancerCare Manitoba; University of Calgary","funders":"Canadian Institutes of Health Research; Health Sciences Centre Foundation","keywords":"Ictal; Sleep (system call); Epilepsy; Electroencephalography; Wake; Wakefulness; Psychology; Medicine; Audiology; Neuroscience; Physics; Computer science","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":[0.0001621441,0.000111915,0.0001197206,0.00007044106,0.0002890071,0.00004251291,0.0004197966,0.00001683013,0.0003104894],"category_scores_gemma":[0.00003614567,0.00008237483,0.00005309952,0.0003241208,0.000108629,0.00009895878,0.0003432333,0.0001378925,0.00001673675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003872432,"about_ca_system_score_gemma":0.0000081824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001163294,"about_ca_topic_score_gemma":0.00002552555,"domain_scores_codex":[0.9988222,0.0002283227,0.0002060309,0.0002538177,0.0002760658,0.0002135738],"domain_scores_gemma":[0.9994993,0.00008270603,0.0001261227,0.000231026,0.00002137359,0.00003947304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003804923,0.001107075,0.0261832,0.0002410422,0.0001329214,0.0001257577,0.1020612,0.230812,0.3096091,0.003956196,0.01844254,0.3069485],"study_design_scores_gemma":[0.0004742839,0.0005385872,0.0004119621,0.00001597357,0.00002717491,0.00004872983,0.001522525,0.5765923,0.3399905,0.0003369141,0.07973923,0.000301812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858593,0.000156129,0.01187044,0.0006266488,0.0009063676,0.0002380006,0.00006029365,0.00006448188,0.0002182796],"genre_scores_gemma":[0.9974131,0.0000138444,0.00002438681,0.002196928,0.0001081046,0.00005739234,0.00001323681,0.00001765481,0.0001553719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3457803,"threshold_uncertainty_score":0.3399642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02226050245641423,"score_gpt":0.2443831923108347,"score_spread":0.2221226898544205,"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."}}