{"id":"W3086617206","doi":"10.3389/fcell.2020.573303","title":"Age Bias in Zebrafish Models of Epilepsy: What Can We Learn From Old Fish?","year":2020,"lang":"en","type":"review","venue":"Frontiers in Cell and Developmental Biology","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University Health Network; University of Toronto","funders":"Canadian Institutes of Health Research; National Research Foundation; National Research Foundation of Korea; Savoy Foundation; Toronto General and Western Hospital Foundation","keywords":"Zebrafish; Epilepsy; Neurogenesis; Neuroscience; Biology; Genetics; Gene","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002363358,0.0003824022,0.001232295,0.0002578717,0.0000340678,0.00003055378,0.0005266911,0.0007950061,0.00002723819],"category_scores_gemma":[0.0001139318,0.0003426002,0.0001484975,0.0003905206,0.0004133402,0.00001017474,0.0005635698,0.0004640472,0.000007725149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001101383,"about_ca_system_score_gemma":0.0005388006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001737775,"about_ca_topic_score_gemma":0.000318016,"domain_scores_codex":[0.9975348,0.0002602534,0.0007463563,0.0008657716,0.0001370234,0.0004557873],"domain_scores_gemma":[0.9992027,0.00009058006,0.0002017444,0.0002535518,0.00002317595,0.0002282875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004345514,0.0001218316,0.0006955431,0.001173632,0.0001285293,0.00003859952,0.0001983629,4.436247e-7,0.0009315377,0.00002088951,0.01135185,0.9852953],"study_design_scores_gemma":[0.0005403861,0.0001109268,0.00004589987,0.0009792784,0.00002703875,0.00000506627,0.0003938353,0.00001801004,0.0007854956,0.001286657,0.9954233,0.000384119],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001787155,0.9954457,0.0004393901,0.0002508562,0.0002623617,0.0007053916,0.0004770503,0.000008781082,0.0006233301],"genre_scores_gemma":[0.0009057141,0.9890631,0.005401407,0.0002985474,0.00007653818,0.0001897353,0.003748901,0.0000384482,0.000277565],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9849112,"threshold_uncertainty_score":0.9999026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03916940357946137,"score_gpt":0.2902670680846153,"score_spread":0.2510976645051539,"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."}}