{"id":"W2950599017","doi":"10.1371/journal.pone.0216705","title":"CiliaCarta: An integrated and validated compendium of ciliary genes","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genetic and Kidney Cyst Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":175,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Sociale en Geesteswetenschappen, NWO; Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Medical Research Council; Stichting Metakids; Nierstichting; Radboud Universiteit; Deutsche Forschungsgemeinschaft; Radboud Universitair Medisch Centrum; National Institute for Health and Care Research; Michael Smith Health Research BC; Seventh Framework Programme; Virgo Consortium; Foundation Fighting Blindness","keywords":"Ciliopathy; Ciliopathies; Cilium; Biology; Zebrafish; Candidate gene; Transcriptome; Computational biology; Joubert syndrome; Genetics; Phenotype; Gene; Bioinformatics; Gene expression","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":[0.002110543,0.001741464,0.001837856,0.003230409,0.001339717,0.001554621,0.001870422,0.0006833649,0.008564313],"category_scores_gemma":[0.00438772,0.0008362214,0.002603288,0.002947398,0.0004954765,0.000522023,0.001419032,0.001319679,0.005409041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008686914,"about_ca_system_score_gemma":0.003347793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00470278,"about_ca_topic_score_gemma":0.0137104,"domain_scores_codex":[0.9981906,0.0002058968,0.0001997863,0.0006355809,0.0006502647,0.0001178349],"domain_scores_gemma":[0.9982022,0.0007941079,0.0002105825,0.0003069651,0.0003588772,0.0001272363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002228022,0.0002814792,0.03931779,0.01037781,0.001865937,0.002635761,0.001217246,0.03238021,0.4763757,0.008985173,0.1726015,0.2517333],"study_design_scores_gemma":[0.0009287093,0.0009087151,0.09799682,0.0009539704,0.002322243,0.004103526,0.0002503964,0.07697158,0.09662713,0.005694425,0.7127661,0.0004763482],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.06324557,0.00236303,0.1036142,0.0002006717,0.0003281531,0.0005597317,0.8020592,0.01934531,0.008284141],"genre_scores_gemma":[0.02848939,0.0005581782,0.1192308,0.0001222072,0.00002796721,0.0009494364,0.8466713,0.002111052,0.001839703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008564313,"threshold_uncertainty_score":0.02865052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887166316791366,"score_gpt":0.2157354504193193,"score_spread":0.1968637872514057,"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."}}