{"id":"W2153368399","doi":"10.1186/1477-5956-2-4","title":"A data management system for structural genomics.","year":2004,"lang":"en","type":"article","venue":"Proteome Science","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Biotechnology Research Institute","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Oracle; Data management; Pipeline (software); Genomics; Database; Data exchange; Structural genomics; Web application; Data science; Data mining; World Wide Web; Software engineering","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":[0.0003091819,0.0000888337,0.00007388799,0.00003269402,0.0002189691,0.00004629316,0.0008381511,0.00002311184,4.776085e-7],"category_scores_gemma":[0.00002005836,0.00007743008,0.00002286208,0.0001003842,0.0001877086,0.000001901996,0.000677796,0.00001975253,0.000004224744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004153719,"about_ca_system_score_gemma":0.00009292576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007997566,"about_ca_topic_score_gemma":0.000005504535,"domain_scores_codex":[0.9990298,0.000003946937,0.0001129884,0.0004866805,0.0001096327,0.0002570253],"domain_scores_gemma":[0.9992226,0.000001570094,0.00004550567,0.000616857,0.00005874303,0.00005476774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001867686,0.000005968656,0.00009304084,0.00005291633,0.00002083376,7.536363e-7,0.00003514181,0.0002855141,0.9956337,0.001727582,0.00003360466,0.002092278],"study_design_scores_gemma":[0.00167545,0.0003500537,0.005924869,0.000031854,0.00003905475,0.00004144608,0.0004110709,0.0006371372,0.9430866,0.002559211,0.04474778,0.0004954231],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898862,0.0004802446,0.007549528,0.0001143528,0.0002887262,0.0008824336,0.0001441928,0.000006002763,0.0006482741],"genre_scores_gemma":[0.9563509,0.00002495744,0.04330328,0.00004386012,0.0001168303,0.00007788794,0.00002121589,0.000007793335,0.00005331083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05254705,"threshold_uncertainty_score":0.3157507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02472650156844735,"score_gpt":0.2719462306546102,"score_spread":0.2472197290861629,"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."}}