{"id":"W4220963533","doi":"10.1101/2022.03.28.485354","title":"Cell type profiling in salamanders identifies innovations in vertebrate forebrain evolution","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Society for Digital Humanities","funders":"Uppsala Multidisciplinary Center for Advanced Computational Science; National Institutes of Health; Science for Life Laboratory","keywords":"Neocortex; Forebrain; Vertebrate; Biology; Hagfish; Neuroscience; Salamander; Cerebrum; Pleurodeles; Evolutionary biology; Anatomy; Amphibian; Paleontology; Central nervous system; Zoology; Genetics","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"],"consensus_categories":[],"category_scores_codex":[0.0005660094,0.0003451203,0.0003118126,0.0003917275,0.000106059,0.00008610511,0.0004006962,0.0004426393,0.00002279035],"category_scores_gemma":[0.0001365788,0.0004316016,0.00008761433,0.0007510198,0.00007080991,0.00001421348,0.000343389,0.0006706279,0.000008384897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000263751,"about_ca_system_score_gemma":0.0006866655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001231602,"about_ca_topic_score_gemma":0.0001017725,"domain_scores_codex":[0.9978974,0.0001440247,0.0005310333,0.0007994093,0.0002090464,0.0004191277],"domain_scores_gemma":[0.9988675,0.00001348208,0.0002032826,0.0006537014,0.000194901,0.00006715066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006315979,0.000156566,0.1090526,0.0001838616,0.00002595661,0.00001326344,0.00001332294,0.001268764,0.8889244,0.0001740268,0.0001236424,4.854615e-7],"study_design_scores_gemma":[0.001456897,0.000141991,0.08991185,0.000161426,0.00003645488,1.647074e-8,0.00004075309,0.002370499,0.9039674,0.00002280808,0.0009282367,0.0009616932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958115,0.001116562,0.001095306,0.00006442857,0.001176989,0.0005821466,0.00007532903,0.00005193339,0.0000258156],"genre_scores_gemma":[0.9981265,0.0001830645,0.001147605,0.0001172608,0.0001461717,0.0001600008,0.00001488751,0.00008479106,0.00001972163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01914077,"threshold_uncertainty_score":0.9998136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01367648597377672,"score_gpt":0.2185957701213995,"score_spread":0.2049192841476228,"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."}}