{"id":"W4391845777","doi":"10.1242/dev.202545","title":"Exploiting spatiotemporal regulation of FZD5 during neural patterning for efficient ventral midbrain specification","year":2024,"lang":"en","type":"article","venue":"Development","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund; University of Toronto","keywords":"Biology; Wnt signaling pathway; Cell biology; Neuroscience; Hindbrain; Progenitor cell; Neural stem cell; Cell fate determination; Signal transduction; Neural development; Midbrain; Stem cell; Central nervous system; Genetics; Transcription factor","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":[0.00009026834,0.0001886447,0.0001412009,0.0002011073,0.0001116628,0.0002984634,0.0001740006,0.0001598511,0.0008345363],"category_scores_gemma":[0.00008499654,0.0001221907,0.0001499359,0.00009581052,0.0001676075,0.0001553118,0.0002628696,0.0002942631,0.0002670952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003751781,"about_ca_system_score_gemma":0.000223801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008090251,"about_ca_topic_score_gemma":0.002673656,"domain_scores_codex":[0.9998738,0.00001502141,0.00001517085,0.00002560654,0.00003816393,0.00003233798],"domain_scores_gemma":[0.9999539,0.000008191088,0.00001681238,0.000005935735,0.000004052115,0.00001112892],"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":[0.00001260778,0.000003234706,0.00007310167,0.00001251516,0.00000109305,0.00002017412,0.000005128501,0.00002741211,0.9991245,0.0001032929,0.000008843452,0.0006080975],"study_design_scores_gemma":[0.000004257769,0.00003629483,0.002456637,0.000003019248,0.000005513972,0.00009453424,0.0000144229,0.000577801,0.9953604,0.00002579128,0.001419685,0.000001703743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864388,0.002150266,0.008402594,0.0001108315,0.00002336036,0.0000338124,0.0004478004,0.0000824271,0.002310128],"genre_scores_gemma":[0.993507,0.0007291699,0.0041017,0.00003851739,0.000004641923,0.00001929858,0.000251812,0.00001414988,0.001333758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008345363,"threshold_uncertainty_score":0.002791762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650312054120465,"score_gpt":0.2377276264635669,"score_spread":0.2212245059223622,"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."}}