{"id":"W1936727506","doi":"10.1002/jnr.23639","title":"Zebrafish models of major depressive disorders","year":2015,"lang":"en","type":"review","venue":"Journal of Neuroscience Research","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto; University Health Network; St. Michael's Hospital","funders":"Fondation Brain Canada; Canadian Institutes of Health Research; Québec Consortium for Drug Discovery; Ontario Brain Institute; H. Lundbeck A/S; Eli Lilly and Company","keywords":"Zebrafish; Neuroscience; Computational biology; 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":[],"consensus_categories":[],"category_scores_codex":[0.003965708,0.000222593,0.0008466264,0.0006944051,0.0001307104,0.00007372478,0.002529581,0.0003104266,0.000008106069],"category_scores_gemma":[0.004162969,0.0001624077,0.000441106,0.001435281,0.001390612,0.00002438694,0.0008641604,0.00114837,0.000007476665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007797236,"about_ca_system_score_gemma":0.003861141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009729835,"about_ca_topic_score_gemma":0.00000507299,"domain_scores_codex":[0.9946356,0.0007819593,0.0008853819,0.000479066,0.002554589,0.0006633958],"domain_scores_gemma":[0.9963289,0.0002227026,0.000649907,0.0007030376,0.001420135,0.0006753451],"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":[0.00006317229,0.0005350444,0.000004937519,0.002761081,0.00007399224,0.00004643665,0.00002364515,0.00002419256,0.02241411,0.0002775284,0.03543786,0.938338],"study_design_scores_gemma":[0.0002532238,0.0008239183,0.000005974981,0.0008657358,0.00004107871,0.0001266224,0.0000167924,0.0000478612,0.0003208122,0.001277279,0.9960827,0.0001380508],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001586365,0.9965709,0.00114673,0.0002480716,0.0001534645,0.0006257579,0.00007233304,0.000002733246,0.001021358],"genre_scores_gemma":[0.001175739,0.9978671,0.000206133,0.00002243911,0.0002628526,0.0000458708,0.0000125567,0.00003985067,0.0003674621],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9606448,"threshold_uncertainty_score":0.6849498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1612254593275743,"score_gpt":0.4697805606178865,"score_spread":0.3085551012903122,"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."}}