{"id":"W2143859503","doi":"10.1093/bioinformatics/btr100","title":"Human variation database: an open-source database template for genomic discovery","year":2011,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"Genome British Columbia; Michael Smith Health Research BC; Genome Canada","keywords":"Computer science; Database; Database schema; Java; Source code; Application programming interface; Pooling; Software; Interface (matter); Database application; Graphical user interface; Modular design; Open source; Database testing; Information retrieval; Database design; Operating system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000226488,0.0001604915,0.0001282387,0.00004238749,0.0002137914,0.0001521597,0.0005563412,0.00008154804,0.00002553164],"category_scores_gemma":[0.00003009051,0.0001483519,0.00005247263,0.00003888995,0.00003945464,0.00008284981,0.0004384943,0.00004133827,0.00001625341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001357002,"about_ca_system_score_gemma":0.00009846591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009907789,"about_ca_topic_score_gemma":0.00005262023,"domain_scores_codex":[0.9991381,0.00001793964,0.0003241444,0.0002131949,0.0000733952,0.0002332264],"domain_scores_gemma":[0.9989539,0.000005004266,0.0001760776,0.0006838869,0.00005913509,0.0001219471],"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":[0.0006063889,0.0009239094,0.001146903,0.0004872223,0.0003042106,0.000007346491,0.002018788,0.0001234697,0.9549376,0.006340959,0.02913606,0.003967192],"study_design_scores_gemma":[0.01435384,0.006444911,0.05443103,0.0002449362,0.0009020664,0.0002246375,0.004970315,0.02551568,0.2189088,0.001759024,0.6670933,0.005151547],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8744603,0.0001463428,0.1199495,0.00001250831,0.0002238497,0.0008876567,0.002468866,0.00002692293,0.001824085],"genre_scores_gemma":[0.9031628,0.0001077085,0.08012196,0.000659009,0.0003051164,0.00009666862,0.01432711,0.00006475061,0.00115485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7360288,"threshold_uncertainty_score":0.6049614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03992812043407963,"score_gpt":0.2801655975228142,"score_spread":0.2402374770887346,"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."}}