{"id":"W4288009750","doi":"10.5281/zenodo.3556803","title":"Variance-stabilized units for sequencing-based genomic signals","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Variance (accounting); Computational biology; Genomic sequencing; Biology; Computer science; Genetics; Statistics; Mathematics; Genome; Business; Gene","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":[0.006983662,0.001803914,0.001207833,0.002470594,0.0006273516,0.002415895,0.00232351,0.001607155,0.02038925],"category_scores_gemma":[0.03166075,0.0007842354,0.001794743,0.002540013,0.0008112724,0.001571132,0.001930356,0.002577671,0.008686627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001194634,"about_ca_system_score_gemma":0.001148231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009583443,"about_ca_topic_score_gemma":0.001209195,"domain_scores_codex":[0.989012,0.004148728,0.0007824037,0.002423012,0.003220639,0.0004131556],"domain_scores_gemma":[0.9903733,0.004760626,0.000786612,0.002116627,0.001786733,0.0001760604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003499778,0.0005602786,0.006434097,0.002221111,0.0005121127,0.0002490137,0.0006539522,0.05230487,0.1811517,0.0778392,0.06909774,0.6054762],"study_design_scores_gemma":[0.0002909532,0.001201722,0.01331435,0.0003565458,0.0002682319,0.0005169586,0.0002148741,0.4969341,0.2993703,0.07065091,0.1164964,0.0003847283],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01140042,0.0004427003,0.9571425,0.0001198634,0.0003699067,0.0003116291,0.007852134,0.0201114,0.002249501],"genre_scores_gemma":[0.07435241,0.000181734,0.9031025,0.0001674159,0.000151764,0.001630043,0.01345877,0.004716541,0.002238911],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02038925,"threshold_uncertainty_score":0.06820887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04132544268042323,"score_gpt":0.2543894892725658,"score_spread":0.2130640465921426,"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."}}