{"id":"W6903545777","doi":"10.12751/g-node.6953bb","title":"Spike time locking in the electro-sensory system","year":2017,"lang":"en","type":"dataset","venue":"German Neuroinformatics Node","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electric fish; Neurophysiology; Electroreception; Spike (software development); Line (geometry); Spike train; Electrophysiology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001779133,0.001037153,0.001141319,0.0008907417,0.0006652624,0.001018679,0.004599725,0.0005253888,0.00006739633],"category_scores_gemma":[0.0004129581,0.0008228899,0.0003208288,0.0003532999,0.0002228944,0.0007977385,0.0006181321,0.0026127,0.08187402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004345351,"about_ca_system_score_gemma":0.0003066587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001192734,"about_ca_topic_score_gemma":0.00005965653,"domain_scores_codex":[0.9942566,0.0004270703,0.001721551,0.0004772434,0.001642576,0.001474923],"domain_scores_gemma":[0.9913372,0.0003877223,0.0022471,0.005737298,0.0001181141,0.000172502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003011718,0.00005274029,0.000004221297,0.001487262,0.00003955606,0.0005300496,0.0004142512,0.0001261655,0.00006181568,0.00002803517,0.9971938,0.0000320441],"study_design_scores_gemma":[0.000626359,0.0000639362,0.00012901,0.0006441937,0.0002071543,0.001421322,0.00005621907,0.01179938,0.00003118748,0.00001064263,0.9841757,0.0008349094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002606746,0.00005844047,0.000004094109,0.00005894442,0.0005150359,0.001292403,0.9882501,0.000266619,0.006947656],"genre_scores_gemma":[0.0008017875,0.00004032128,0.0000589752,0.0009324579,0.0004371169,0.00006960274,0.9971466,0.0001814856,0.0003316602],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08180662,"threshold_uncertainty_score":0.9996883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02009214772633181,"score_gpt":0.2935651596744996,"score_spread":0.2734730119481678,"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."}}