{"id":"W1756130223","doi":"10.1186/1471-2105-4-63","title":"AnaBench: a Web/CORBA-based workbench for biomolecular sequence analysis","year":2003,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Canadian Institute for Advanced Research","funders":"Canadian Institutes of Health Research","keywords":"Workbench; Computer science; Java; Common Object Request Broker Architecture; Software engineering; Software; Middleware (distributed applications); Data management; World Wide Web; Identification (biology); Flexibility (engineering); Protocol (science); Database; Data science; Operating system; Data mining; Visualization","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002853636,0.000220063,0.0002448605,0.0001367038,0.0001446614,0.0000473717,0.0002127746,0.0001423966,0.00001366136],"category_scores_gemma":[0.000168177,0.0002042703,0.0003185164,0.000441038,0.00008961045,0.000001631504,0.00004473663,0.00004500969,0.000008845906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001743075,"about_ca_system_score_gemma":0.0002342015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004586038,"about_ca_topic_score_gemma":0.00006091434,"domain_scores_codex":[0.9988497,0.00003422099,0.0003815786,0.000238964,0.0001349683,0.0003605663],"domain_scores_gemma":[0.999047,0.0000327891,0.0001563253,0.0005129733,0.0001495779,0.0001012985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003716015,0.0006174025,0.1767391,0.001156101,0.005445574,0.000007440782,0.0008310592,0.08700036,0.699617,0.009052509,0.01137977,0.007782078],"study_design_scores_gemma":[0.004414966,0.001352688,0.005746792,0.00004236487,0.001956601,0.00001993405,0.001045296,0.5244825,0.1683881,0.0009628567,0.2894224,0.002165475],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2499256,0.001277737,0.7442411,0.00004692802,0.0002141219,0.0006551254,0.0002360714,0.00001488785,0.003388497],"genre_scores_gemma":[0.7464796,0.0000805754,0.2525252,0.0004435808,0.00004398385,0.00007047075,0.0001833385,0.00001868556,0.0001545705],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5312289,"threshold_uncertainty_score":0.8329901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02873804825672083,"score_gpt":0.2660015657928533,"score_spread":0.2372635175361325,"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."}}