{"id":"W4385761211","doi":"10.7554/elife.87133.2.sa3","title":"Author Response: GENIUS: GEnome traNsformatIon and spatial representation of mUltiomicS data","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Novo Nordisk Fonden; H. Lundbeck A/S; Lundbeckfonden; Aarhus Universitet; Novo Nordisk; Aarhus Universitets Forskningsfond","keywords":"Inference; Omics; Computer science; Genome; Computational biology; Transformation (genetics); Genomics; Data mining; Data science; Bioinformatics; Artificial intelligence; Biology; Gene; Genetics","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":[0.007448694,0.001587768,0.00113188,0.001088369,0.002338969,0.00338734,0.002056221,0.01477003,0.1180706],"category_scores_gemma":[0.05993967,0.0007970739,0.001626256,0.001008727,0.002800357,0.002523858,0.005083634,0.0133032,0.06585766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002519429,"about_ca_system_score_gemma":0.005048254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003315582,"about_ca_topic_score_gemma":0.004021552,"domain_scores_codex":[0.9937029,0.002486842,0.0004119537,0.0007315553,0.00199632,0.0006704207],"domain_scores_gemma":[0.9728729,0.0132303,0.001474153,0.001485763,0.008276708,0.002660168],"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":[0.00006603592,0.000007047029,0.0001620749,0.0001035875,0.000008280063,0.0000898534,0.00007433935,0.0001233787,0.0002091028,0.0007633228,0.9930891,0.005303879],"study_design_scores_gemma":[0.00009386222,0.00005524984,0.0005737831,0.0002500368,0.00001353178,0.0002071973,0.0003634593,0.0006095982,0.0006263303,0.003080807,0.9940735,0.00005265977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008750733,0.001264238,0.00778431,0.8283444,0.1433762,0.0002522004,0.003734879,0.003699241,0.01066945],"genre_scores_gemma":[0.01442337,0.002350538,0.009164806,0.8137624,0.0434632,0.001125303,0.003839295,0.002759648,0.1091114],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1180706,"threshold_uncertainty_score":0.3949854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1035123216122938,"score_gpt":0.3925788186828216,"score_spread":0.2890664970705278,"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."}}