{"id":"W2107788310","doi":"10.1186/2046-2530-2-7","title":"The SYSCILIA gold standard (SCGSv1) of known ciliary components and its applications within a systems biology consortium","year":2013,"lang":"en","type":"article","venue":"Cilia","topic":"Genetic and Kidney Cyst Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":177,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; National Institute of Diabetes and Digestive and Kidney Diseases; Westfälische Wilhelms-Universität Münster; Universitair Medisch Centrum Utrecht; University College Dublin; University College London; Centre National de la Recherche Scientifique; European Molecular Biology Laboratory; Radboud Universiteit; Eberhard Karls Universität Tübingen; Universität Heidelberg","keywords":"Biology; Ciliopathies; Cilium; Ciliopathy; Computational biology; Phenotype; Bioinformatics; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001583508,0.000138201,0.0001742231,0.00002107064,0.0001110276,0.00003170548,0.000213906,0.0001148989,0.00001140381],"category_scores_gemma":[0.0001186557,0.0001002024,0.0000493496,0.00006368895,0.0002530286,0.000003858855,0.0001189281,0.00005596946,0.00002766389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000822551,"about_ca_system_score_gemma":0.0001041304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004744469,"about_ca_topic_score_gemma":0.000008483928,"domain_scores_codex":[0.9990206,0.00008878439,0.000302693,0.0002843904,0.00009625727,0.0002072654],"domain_scores_gemma":[0.9990592,0.00003301809,0.0001277587,0.0003738647,0.0002522963,0.0001538672],"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":[0.00007356288,0.00004716421,0.004371197,0.0001032642,0.0001043944,4.461121e-7,0.0000286305,0.00001692898,0.9840415,0.001845651,0.008777726,0.000589518],"study_design_scores_gemma":[0.003377263,0.001487043,0.04904256,0.000188559,0.0002305287,0.000107783,0.001483237,0.00178962,0.3371124,0.00301744,0.6009249,0.001238604],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812826,0.01577115,0.0003771094,0.0002203577,0.0002323643,0.0008928997,0.0002689429,0.00001521592,0.0009393938],"genre_scores_gemma":[0.997382,0.0007172789,0.00007498276,0.00006405303,0.00007840039,0.0002757032,0.00009313854,0.00001227649,0.001302203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6469291,"threshold_uncertainty_score":0.4086135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00949165706150604,"score_gpt":0.2349421671611346,"score_spread":0.2254505100996285,"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."}}