{"id":"W2920153156","doi":"10.1007/978-0-387-39940-9_628","title":"Biological Metadata Management","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Metadata; Computer science; Metadata management; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003665325,0.0003884509,0.0005717334,0.000104038,0.00004224076,0.00001917486,0.0005880746,0.0005599151,0.00006194761],"category_scores_gemma":[0.00007216237,0.0003075709,0.000181009,0.00002923197,0.0002226881,0.000004428781,0.0004122732,0.0002138163,0.00005468384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001349816,"about_ca_system_score_gemma":0.00005342556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001693912,"about_ca_topic_score_gemma":0.000005662012,"domain_scores_codex":[0.998078,0.00005048428,0.000585388,0.0006863655,0.0003197955,0.0002799981],"domain_scores_gemma":[0.99832,0.00002970133,0.0003278145,0.001133131,0.00005998465,0.0001293698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003502193,0.0003152655,0.0002020349,0.001578354,0.002214293,0.0005273002,0.00003902362,0.000009235356,0.004077943,0.1066943,0.5938751,0.290117],"study_design_scores_gemma":[0.0002740537,0.0002944288,0.00004743699,0.0002608761,0.0001018175,0.00002594325,0.00002449086,0.000002035007,0.0001156584,0.0001471291,0.9983522,0.0003539701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002667551,0.02166174,0.001929596,0.00005265707,0.001005842,0.0005532827,0.002083489,0.00005400236,0.9723926],"genre_scores_gemma":[0.001791363,0.03498376,0.005331107,0.0001147136,0.001197356,0.00003510205,0.008921463,0.00006032737,0.9475648],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4044771,"threshold_uncertainty_score":0.9999377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02683584129570001,"score_gpt":0.2591346831143143,"score_spread":0.2322988418186143,"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."}}