{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003006782,0.0001791813,0.0002215984,0.0001650547,0.0002374063,0.00002379151,0.001114155,0.0001717297,0.0006916943],"category_scores_gemma":[0.00158043,0.0001101645,0.0001380715,0.0004233099,0.002001264,0.00001038917,0.001259777,0.0004597126,0.0001958817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001572783,"about_ca_system_score_gemma":0.0002354698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002659865,"about_ca_topic_score_gemma":0.00007087825,"domain_scores_codex":[0.9969683,0.0004208338,0.0004375688,0.0004087696,0.0009854469,0.0007791099],"domain_scores_gemma":[0.9978389,0.0001401201,0.0000754775,0.0011257,0.0005230049,0.0002968187],"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":[0.0007875222,0.0007654623,0.01280937,0.000212775,0.0002235613,0.0000269758,0.0005727077,5.853915e-7,0.9001124,0.002463791,0.0453328,0.03669206],"study_design_scores_gemma":[0.0009214481,0.001811387,0.01515867,0.00005518511,0.00002192945,0.00002921725,0.001861363,0.0002203773,0.6941109,0.0004188124,0.2850402,0.0003504774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769434,0.001523457,0.002077245,0.0003397077,0.0001732206,0.0006466272,0.0003371282,0.00002146809,0.01793777],"genre_scores_gemma":[0.9903138,0.002534051,0.005513589,0.0001658747,0.0002478012,0.00004461276,0.0002782948,0.00002392356,0.0008780488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2397074,"threshold_uncertainty_score":0.7573567,"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."}}