{"id":"W2149671003","doi":"10.1093/database/bar041","title":"BioMart Central Portal: an open database network for the biological community","year":2011,"lang":"en","type":"article","venue":"Database","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":170,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"Ontario Institute for Cancer Research; Cancer Research UK; Wellcome Trust","keywords":"Computer science; Variety (cybernetics); Interface (matter); Ontology; Database; Resource (disambiguation); World Wide Web; Biological database; Bioinformatics; Artificial intelligence; Computer network","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":[0.0009854884,0.0001681365,0.0001408392,0.00001030659,0.000470678,0.00006331066,0.001267721,0.0001097535,0.0001092053],"category_scores_gemma":[0.00005483112,0.0001121131,0.00005869549,0.00006596072,0.0001609364,0.00002172148,0.001108546,0.0001819225,0.000009592775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004687102,"about_ca_system_score_gemma":0.00005594637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005726091,"about_ca_topic_score_gemma":0.0009073549,"domain_scores_codex":[0.998902,0.000126214,0.0002545411,0.000223374,0.00005775459,0.0004361783],"domain_scores_gemma":[0.9983127,0.00004431625,0.0001064548,0.0013318,0.00004301304,0.0001617025],"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":[0.002905216,0.001842152,0.01009913,0.0001078421,0.0006856819,0.00002614019,0.0009573734,0.0001315358,0.06198271,0.0221277,0.8644991,0.03463545],"study_design_scores_gemma":[0.002895704,0.002053855,0.01426986,0.00005358593,0.0001623881,0.00009160917,0.001457104,0.004875028,0.01414879,0.001841589,0.9570268,0.001123673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7407761,0.002648358,0.2181892,0.0004092116,0.002314203,0.004971731,0.02169184,0.0001119281,0.008887442],"genre_scores_gemma":[0.9256312,0.0003892664,0.02946161,0.002920412,0.0008025867,0.0001500349,0.04047907,0.00003727518,0.0001285654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1887275,"threshold_uncertainty_score":0.4571838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09830288862401737,"score_gpt":0.3035580759883937,"score_spread":0.2052551873643763,"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."}}