{"id":"W4323810601","doi":"10.1093/bioinformatics/btad126","title":"RNAget: an API to securely retrieve RNA quantifications","year":2023,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Genomics; McGill University; Ontario Institute for Cancer Research","funders":"National Human Genome Research Institute; European Regional Development Fund; Medical Research Council; National Institutes of Health; Generalitat de Catalunya; Ministerio de Ciencia e Innovación; Centres de Recerca de Catalunya; Canadian Institutes of Health Research; Genome Canada","keywords":"Computer science; Genomics; Slicing; DNA microarray; Computational biology; Data mining; World Wide Web; Genome; Biology; Genetics; Gene; Gene expression","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":[0.004774434,0.004144073,0.002079256,0.003385311,0.0009372592,0.004160644,0.004258213,0.001857109,0.05541604],"category_scores_gemma":[0.0102053,0.002502214,0.002041044,0.002065318,0.0009420602,0.004309481,0.006599903,0.003367763,0.0708766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001163682,"about_ca_system_score_gemma":0.001420194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002067064,"about_ca_topic_score_gemma":0.002238211,"domain_scores_codex":[0.9965988,0.0005089751,0.0004778794,0.0007449206,0.001280992,0.0003885406],"domain_scores_gemma":[0.9950059,0.001929563,0.000388396,0.001482527,0.000884852,0.00030884],"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":[0.0024376,0.0002499392,0.004284785,0.002361147,0.0004911955,0.0007398041,0.0005852566,0.003588776,0.04487259,0.01042983,0.7870764,0.1428827],"study_design_scores_gemma":[0.0008656943,0.0002254382,0.007438937,0.0005989196,0.0002018947,0.001459241,0.0002359474,0.05870196,0.1406763,0.03892933,0.7499163,0.0007501303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001319599,0.0003455763,0.2116331,0.0002088964,0.0001467291,0.0003398104,0.04389161,0.7381565,0.003958143],"genre_scores_gemma":[0.04727376,0.0009948888,0.2624248,0.003041983,0.0003132952,0.004683168,0.3882916,0.2744236,0.01855299],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.05541604,"threshold_uncertainty_score":0.1853852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03481691989854471,"score_gpt":0.3055031289160492,"score_spread":0.2706862090175045,"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."}}