{"id":"W2033835987","doi":"10.1093/nar/gkr1099","title":"MetaBase--the wiki-database of biological databases","year":2011,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome Canada","funders":"Ministry of Knowledge Economy","keywords":"Database; Biological database; Biology; Resource (disambiguation); Computer science; World Wide Web; Bioinformatics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004854862,0.002759143,0.002965043,0.01273432,0.001976626,0.008708769,0.004867505,0.002265922,0.01511376],"category_scores_gemma":[0.01979652,0.001606115,0.00169064,0.01196344,0.0008154499,0.01114475,0.006437206,0.004033409,0.02892387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197471,"about_ca_system_score_gemma":0.00693405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002566346,"about_ca_topic_score_gemma":0.004306328,"domain_scores_codex":[0.9962466,0.0007817007,0.0009990927,0.0006108957,0.001137731,0.0002238764],"domain_scores_gemma":[0.9871724,0.003076463,0.001940918,0.002836299,0.002625012,0.002348994],"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":[0.0006884995,0.0001603862,0.003791055,0.006019525,0.000382966,0.0005031169,0.0004470825,0.0008608341,0.009682251,0.03415575,0.7771236,0.166185],"study_design_scores_gemma":[0.00007258438,0.0000560339,0.001429793,0.0007755233,0.0001193436,0.0007830016,0.0001227734,0.001768108,0.004302494,0.0147218,0.9757578,0.00009083879],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.007258153,0.01958184,0.2646921,0.007200588,0.005777148,0.001420983,0.4712276,0.1699646,0.05287683],"genre_scores_gemma":[0.01082085,0.009233994,0.2184597,0.001939159,0.0008609636,0.0007103183,0.733438,0.01276948,0.0117675],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9912912,"threshold_uncertainty_score":0.05056059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1603498248508924,"score_gpt":0.3737331981282348,"score_spread":0.2133833732773424,"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."}}