{"id":"W2099003362","doi":"10.1186/s12859-015-0497-0","title":"GeneDig: a web application for accessing genomic and bioinformatics knowledge","year":2015,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; Montreal General Hospital","funders":"McGill University Health Centre; McGill University","keywords":"Computer science; World Wide Web; Genomic information; Usability; Genomics; Data science; Genome; Bioinformatics; Computational biology; Biology; Human–computer interaction; Gene; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009608884,0.0003023844,0.0002878519,0.0001864206,0.0001919798,0.0001904179,0.0004600155,0.000346106,0.000002712039],"category_scores_gemma":[0.000508942,0.0002630411,0.0001157891,0.0001935988,0.000300259,0.00004525218,0.0004514069,0.0001347904,0.00008957944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005985624,"about_ca_system_score_gemma":0.0007995926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004560483,"about_ca_topic_score_gemma":0.00005076778,"domain_scores_codex":[0.9979979,0.00002862959,0.0008458206,0.0002236134,0.0003401516,0.0005638878],"domain_scores_gemma":[0.9981881,0.00005829012,0.0002820166,0.0005317426,0.0004034768,0.0005363622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001107105,0.0006974979,0.01466054,0.007951073,0.0004616878,0.00000126488,0.008341922,0.0006908068,0.0500098,0.001783801,0.09407701,0.8202175],"study_design_scores_gemma":[0.002741939,0.0006663394,0.0007494059,0.00004316292,0.00005490661,0.00003868745,0.002355786,0.7836304,0.005025966,0.0003496817,0.2037593,0.0005844082],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1325037,0.001961547,0.8504955,0.0002360453,0.0005849861,0.00221912,0.0002453563,0.0001050347,0.0116487],"genre_scores_gemma":[0.1785619,0.001165038,0.8151737,0.0009143998,0.00111206,0.0002935918,0.001465978,0.00009392988,0.001219346],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8196331,"threshold_uncertainty_score":0.9999822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04636333613456538,"score_gpt":0.3213206243563992,"score_spread":0.2749572882218338,"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."}}