{"id":"W4393739368","doi":"10.5281/zenodo.7013884","title":"Gene-level read counts from bulk RNA-seq data for 38 follicular lymphoma diagnostic biopsies","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Follicular lymphoma; RNA-Seq; Lymphoma; Gene; Follicular phase; Biology; Computational biology; Gene expression; Genetics; Transcriptome; Immunology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002226121,0.0009653377,0.001542796,0.002385762,0.001392426,0.001451449,0.0006681799,0.001204572,0.01247993],"category_scores_gemma":[0.003469848,0.0004426137,0.0008815327,0.002937322,0.0006620116,0.0004887927,0.0007842701,0.001095882,0.005037703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007828362,"about_ca_system_score_gemma":0.000922533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001954125,"about_ca_topic_score_gemma":0.006496113,"domain_scores_codex":[0.9969693,0.0002260903,0.0002779728,0.001256902,0.0009705102,0.0002992156],"domain_scores_gemma":[0.998628,0.0005093375,0.0001020324,0.0001714935,0.0004916201,0.0000974654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001828321,0.0002211464,0.03790973,0.00373395,0.0004916561,0.0008022155,0.001199007,0.00291476,0.8502668,0.0009962874,0.01781252,0.0818236],"study_design_scores_gemma":[0.0003242266,0.001341567,0.305306,0.0006815518,0.001561073,0.003141004,0.001345824,0.01515952,0.5097566,0.003755274,0.1572901,0.0003373025],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5984693,0.006649407,0.05007591,0.0005052862,0.0004920487,0.0006358238,0.3271888,0.004469223,0.01151415],"genre_scores_gemma":[0.5344371,0.003171658,0.1395326,0.001205121,0.0002678645,0.003618633,0.3032361,0.003654285,0.01087673],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01247993,"threshold_uncertainty_score":0.04174954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08577851135798885,"score_gpt":0.2894450713728534,"score_spread":0.2036665600148646,"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."}}