{"id":"W4394043024","doi":"10.5281/zenodo.6968597","title":"ICB_Gide_RNAseq","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Computer science; Computational biology; Biology","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":[0.002981485,0.003587398,0.002800287,0.003650401,0.002322347,0.004415652,0.004656332,0.002719679,0.09802707],"category_scores_gemma":[0.006428861,0.001733917,0.0021538,0.005445811,0.0008218427,0.002147216,0.002898334,0.004477661,0.2033972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001868478,"about_ca_system_score_gemma":0.003820182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01047057,"about_ca_topic_score_gemma":0.02115634,"domain_scores_codex":[0.9976611,0.0003528387,0.000206875,0.0009797487,0.0004829186,0.000316543],"domain_scores_gemma":[0.9980819,0.0004264647,0.0001551986,0.0007237099,0.0004649519,0.0001477511],"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":[0.000218694,0.00003642468,0.0010204,0.00144916,0.0001069921,0.00003824393,0.00005676005,0.0004598486,0.002144941,0.0008328679,0.9901274,0.003508251],"study_design_scores_gemma":[0.0002991415,0.00004911434,0.003578589,0.0003143667,0.000114293,0.000173731,0.00008079752,0.0007823199,0.004165558,0.002813668,0.9875531,0.00007521395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002980609,0.0001801451,0.0006880604,0.00005845008,0.00005482819,0.00004306145,0.993988,0.003367083,0.001322268],"genre_scores_gemma":[0.0004286045,0.00005837039,0.001264908,0.00006894078,0.000005852242,0.000191019,0.9966367,0.0006675165,0.0006779213],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09802707,"threshold_uncertainty_score":0.3279333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008196736522686,"score_gpt":0.2449613518376951,"score_spread":0.2248793844724682,"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."}}