{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001000888,0.001070337,0.0004654927,0.002113397,0.0003777792,0.001206582,0.001530325,0.0009594914,0.01920159],"category_scores_gemma":[0.002321803,0.0004138614,0.0005110051,0.001300639,0.0003912462,0.001713295,0.002329302,0.0006997908,0.0106188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005366665,"about_ca_system_score_gemma":0.0006978229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001332122,"about_ca_topic_score_gemma":0.001468348,"domain_scores_codex":[0.9996406,0.00006331447,0.00003564885,0.00008082945,0.0001441628,0.00003540788],"domain_scores_gemma":[0.9988272,0.0006840396,0.00007378808,0.0001041476,0.0001585819,0.0001522759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00175646,0.0005417606,0.008069734,0.002363193,0.0001930188,0.002032219,0.001199333,0.003714094,0.06134552,0.007002707,0.3725437,0.5392383],"study_design_scores_gemma":[0.0005934559,0.0004022251,0.01599686,0.0006322169,0.0001953833,0.00380362,0.000529168,0.08290848,0.1035558,0.01678493,0.7741358,0.0004620334],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.02690155,0.001081895,0.3176215,0.0007657175,0.0001868413,0.0007124561,0.02085565,0.6118982,0.01997614],"genre_scores_gemma":[0.2123563,0.002021578,0.6108109,0.002809048,0.0002037122,0.00251394,0.07834744,0.03878375,0.05215329],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.01920159,"threshold_uncertainty_score":0.06423569,"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."}}