{"id":"W2168670121","doi":"10.1093/database/bar051","title":"The Chado Natural Diversity module: a new generic database schema for large-scale phenotyping and genotyping data","year":2011,"lang":"en","type":"article","venue":"Database","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Division of Emerging Frontiers; National Institute of Allergy and Infectious Diseases; Division of Biological Infrastructure; National Institute of General Medical Sciences; Smithsonian Tropical Research Institute; National Human Genome Research Institute; Agricultural Research Service; National Institutes of Health; National Institute of Food and Agriculture; Smithsonian Institution; U.S. Department of Agriculture; Commonwealth Scientific and Industrial Research Organisation; National Evolutionary Synthesis Center; Agriculture and Agri-Food Canada; National Science Foundation","keywords":"Computer science; Modular design; Genotyping; Biological database; Relational database; Schema (genetic algorithms); Database; Information retrieval; Data mining; Bioinformatics; Biology; Programming language; Genotype","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003598423,0.0001783775,0.0001340009,0.00002003297,0.0008003676,0.00003096504,0.0006312899,0.0000504444,0.000005850192],"category_scores_gemma":[0.0001230222,0.0001438669,0.00003966337,0.00005743239,0.00007776283,0.000007737749,0.004023836,0.00008267981,0.00000327318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006605868,"about_ca_system_score_gemma":0.0000559557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002499144,"about_ca_topic_score_gemma":0.0007800041,"domain_scores_codex":[0.9987867,0.00002790435,0.0001547799,0.0005758991,0.0000875449,0.0003671528],"domain_scores_gemma":[0.9985297,0.00002698513,0.00007858586,0.001191034,0.00005646569,0.0001172081],"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":[0.001037643,0.0002640639,0.02097065,0.0002205146,0.0008647817,0.00001309533,0.001760694,0.000006481016,0.8556826,0.002426234,0.07645788,0.04029538],"study_design_scores_gemma":[0.005258526,0.0002890018,0.02553086,0.00007554149,0.0005030078,0.00005775721,0.001867119,0.01544317,0.1009636,0.0006052936,0.8477192,0.001686913],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9098391,0.0335113,0.04709829,0.0002459231,0.0006927742,0.000720221,0.007706202,0.00001585832,0.0001703141],"genre_scores_gemma":[0.9431549,0.003582857,0.04632545,0.0006251623,0.0007104075,0.00002404559,0.005200845,0.00004111366,0.000335193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7712613,"threshold_uncertainty_score":0.6155862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05710983984248658,"score_gpt":0.2576520730126977,"score_spread":0.2005422331702111,"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."}}