{"id":"W4286210803","doi":"10.1007/s12311-022-01445-w","title":"The Cerebellar Gene Database: a Collective Database of Genes Critical for Cerebellar Development","year":2022,"lang":"en","type":"article","venue":"The Cerebellum","topic":"Vestibular and auditory disorders","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"OMIM : Online Mendelian Inheritance in Man; Phenotype; Gene; Gene nomenclature; Database; Cerebellum; Biology; Cerebellar ataxia; Genetics; Human genome; Genome; Computational biology; Neuroscience; Ataxia; Computer science","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":[0.001201747,0.002775771,0.003209876,0.01480957,0.0009596847,0.0027416,0.002731939,0.00209635,0.01968036],"category_scores_gemma":[0.006086729,0.0009602976,0.001324023,0.01142951,0.0005197419,0.001937427,0.002902821,0.001563692,0.02236103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007962279,"about_ca_system_score_gemma":0.004088881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003872469,"about_ca_topic_score_gemma":0.006180621,"domain_scores_codex":[0.9988143,0.0001209986,0.0004185965,0.0002828704,0.0002708301,0.00009227588],"domain_scores_gemma":[0.9960743,0.001350063,0.0007998045,0.0004966275,0.0006201855,0.0006589738],"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":[0.002463907,0.0002912634,0.01769851,0.02500338,0.001208585,0.003495089,0.0008994113,0.003658542,0.08909497,0.01032479,0.6184211,0.2274405],"study_design_scores_gemma":[0.0003581896,0.0002173912,0.02602485,0.001323707,0.0007038453,0.003236864,0.0002037812,0.001498271,0.01094091,0.005970276,0.9492983,0.0002236241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00860619,0.01053184,0.01369739,0.0003230472,0.0001760113,0.0002015329,0.9472966,0.01229826,0.006869045],"genre_scores_gemma":[0.007222242,0.004860177,0.0156397,0.0001870344,0.00005704879,0.0002961986,0.9691768,0.001152976,0.001407732],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01968036,"threshold_uncertainty_score":0.06583732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03957065001946623,"score_gpt":0.2826737776639472,"score_spread":0.243103127644481,"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."}}