{"id":"W2090242275","doi":"10.1186/1471-2105-9-450","title":"Bluejay 1.0: genome browsing and comparison with rich customization provision and dynamic resource linking","year":2008,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Calgary","funders":"Genome Canada; Genome Alberta; University of Calgary","keywords":"Personalization; Resource (disambiguation); Computer science; World Wide Web; Genome; DNA microarray; Computational biology; Biology; Data science; Genetics; Gene","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":[0.0001357304,0.0001252426,0.0001484274,0.00005125493,0.0001917677,0.00003372859,0.00007274527,0.0001598315,8.398146e-7],"category_scores_gemma":[0.00005801296,0.00009492927,0.00001493431,0.00008421471,0.0002358115,0.000007956656,0.0001000918,0.00009333711,0.000001918304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009612751,"about_ca_system_score_gemma":0.00004444344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002191437,"about_ca_topic_score_gemma":0.0000153065,"domain_scores_codex":[0.9993029,0.00002319991,0.0002336602,0.0001458046,0.0001225582,0.0001718837],"domain_scores_gemma":[0.9995954,0.00002324116,0.0001224106,0.0001540998,0.00003483647,0.00007001423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001601792,0.0004496075,0.4539279,0.003273923,0.0003543276,0.000027427,0.02712549,0.006445081,0.05148663,0.00009640422,0.004063177,0.4511482],"study_design_scores_gemma":[0.004921579,0.002466362,0.09930302,0.0003944471,0.0001317619,0.0009998672,0.00610263,0.7703679,0.005382147,0.00003242541,0.1085405,0.00135726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8731499,0.001040672,0.1250984,0.00004468703,0.00002062127,0.0001505476,0.000004841251,0.00003616302,0.0004541482],"genre_scores_gemma":[0.8346997,0.0002610293,0.1645477,0.0001231925,0.00004084881,0.000004335029,0.0001455062,0.00001429767,0.0001634463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7639229,"threshold_uncertainty_score":0.3871103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0152140360596898,"score_gpt":0.244630815784911,"score_spread":0.2294167797252212,"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."}}