{"id":"W3164316244","doi":"10.1145/3448340.3448342","title":"Machine Learning Facilitates Imputation of Gene Expression Levels across Multiple Environments","year":2021,"lang":"en","type":"article","venue":"","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Imputation (statistics); Univariate; Computer science; Missing data; Artificial intelligence; Machine learning; Data mining; Multivariate statistics","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":[0.005871403,0.00117068,0.001773072,0.001225134,0.0009748042,0.001530995,0.001822217,0.001389304,0.001293712],"category_scores_gemma":[0.01352138,0.0006000309,0.002476778,0.002359114,0.0007031789,0.001479608,0.001342707,0.003428577,0.001205642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007890336,"about_ca_system_score_gemma":0.001174973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003034316,"about_ca_topic_score_gemma":0.004559449,"domain_scores_codex":[0.9967631,0.001278778,0.0002049508,0.001151373,0.0004149991,0.0001866451],"domain_scores_gemma":[0.9920906,0.004249985,0.0005838518,0.002041256,0.0009221953,0.0001119999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001134221,0.0008676199,0.1080919,0.000774132,0.001127165,0.0005447476,0.0005655874,0.4578501,0.03358322,0.008177754,0.01335075,0.3739329],"study_design_scores_gemma":[0.00005781089,0.0001495114,0.01808951,0.00005588873,0.0001046551,0.0001556456,0.0001067113,0.9335463,0.02095698,0.01904655,0.007652939,0.00007746089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09116459,0.0009432744,0.8971753,0.000625122,0.000212887,0.00008286774,0.004262775,0.004222593,0.001310496],"genre_scores_gemma":[0.4372635,0.0004650592,0.54446,0.0004717089,0.0001352771,0.0003033937,0.01498016,0.0003900749,0.00153083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005871403,"threshold_uncertainty_score":0.03105128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029066715802956,"score_gpt":0.2774113368681745,"score_spread":0.257120669710145,"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."}}