{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003946753,0.0006997715,0.0007835557,0.001161522,0.0002718219,0.0004681437,0.0005881579,0.0006251485,0.003046882],"category_scores_gemma":[0.0002134591,0.0001703201,0.0004216848,0.000533219,0.0002813857,0.0004617352,0.000399118,0.0009121457,0.00134098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005773374,"about_ca_system_score_gemma":0.0007838839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002184646,"about_ca_topic_score_gemma":0.004544703,"domain_scores_codex":[0.9998971,0.00001185889,0.00001125849,0.00001620536,0.00005149302,0.0000121199],"domain_scores_gemma":[0.9999291,0.00001479211,0.00001579063,0.000002725868,0.00002583747,0.00001181461],"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":[0.0002503441,0.0001388406,0.0005756897,0.01379608,0.0001424319,0.001074584,0.0001330439,0.0006364796,0.1148992,0.01321244,0.06036523,0.7947758],"study_design_scores_gemma":[0.00005516217,0.0003474031,0.002026879,0.001904752,0.0002219072,0.00218525,0.00006624209,0.0002678326,0.01586758,0.002459398,0.9745496,0.00004799941],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004429063,0.9722925,0.004300525,0.001462494,0.0005470279,0.0001288569,0.0007444888,0.0002837169,0.01581133],"genre_scores_gemma":[0.01669053,0.9688219,0.004161789,0.0006468591,0.0001091218,0.0001533136,0.0007639783,0.00002375935,0.008628748],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003046882,"threshold_uncertainty_score":0.01019281,"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."}}