{"id":"W4226047384","doi":"10.5061/dryad.dfn2z351g","title":"A 3D Adult Zebrafish Brain Atlas (AZBA) for the Digital Age","year":2021,"lang":"en","type":"article","venue":"Open MIND","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Institutes of Health; Human Frontier Science Program","keywords":"Zebrafish; Vertebrate; Biology; Neuroscience; Brain function; Anatomy; Genetics","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":[0.0004717998,0.0006884411,0.000381971,0.002705297,0.0005037017,0.0006584954,0.001129223,0.0007145542,0.03380186],"category_scores_gemma":[0.0007603528,0.0005537265,0.0005501547,0.00115249,0.0003316809,0.0008198141,0.001346402,0.0009472562,0.009170501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007962984,"about_ca_system_score_gemma":0.002028011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008013214,"about_ca_topic_score_gemma":0.03299227,"domain_scores_codex":[0.9998066,0.00001549422,0.00001498103,0.00003252732,0.0001142696,0.00001609544],"domain_scores_gemma":[0.9997517,0.00003554858,0.00004423443,0.00005255214,0.00007403889,0.00004194531],"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":[0.0003200001,0.00006260457,0.003442117,0.001055566,0.0000941919,0.0008843486,0.0004739529,0.004768818,0.3344502,0.02384946,0.3832705,0.2473282],"study_design_scores_gemma":[0.00006985894,0.0001247957,0.01429583,0.0002233036,0.00009956096,0.002037338,0.00008042433,0.01218892,0.06778726,0.00614604,0.896822,0.0001246578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.02835539,0.001681551,0.7144539,0.001189518,0.0007843209,0.0007584631,0.136662,0.060204,0.0559108],"genre_scores_gemma":[0.07400508,0.002299872,0.7723539,0.000538255,0.0001028572,0.002332757,0.09204915,0.009656443,0.04666176],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03380186,"threshold_uncertainty_score":0.1130785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02515216841078705,"score_gpt":0.3332172415625528,"score_spread":0.3080650731517657,"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."}}