{"id":"W2919486621","doi":"10.1101/570457","title":"Systematic evaluation and validation of reference and library selection methods for deconvolution of cord blood DNA methylation data","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Children's Hospital Research Institute of Manitoba; BC Children's Hospital; University of British Columbia","funders":"","keywords":"dNaM; DNA methylation; Deconvolution; Computer science; Leverage (statistics); Computational biology; Selection (genetic algorithm); Data mining; Biology; Algorithm; Artificial intelligence; Genetics; 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":[0.1001309,0.002176496,0.00211267,0.004960054,0.001605492,0.003115322,0.003485542,0.001966344,0.001708893],"category_scores_gemma":[0.1528002,0.000844968,0.003422318,0.004090439,0.002005559,0.001215892,0.004251705,0.001305957,0.001209165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560663,"about_ca_system_score_gemma":0.004975801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004016177,"about_ca_topic_score_gemma":0.005231186,"domain_scores_codex":[0.9429139,0.03039625,0.005180729,0.008890497,0.01193494,0.0006836978],"domain_scores_gemma":[0.9021435,0.04601889,0.0065414,0.01556632,0.02889067,0.0008392605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006858981,0.001083605,0.2188091,0.01263108,0.01616773,0.0006342307,0.002775709,0.05865001,0.1181957,0.008628866,0.0159999,0.5395653],"study_design_scores_gemma":[0.001550946,0.005066551,0.2394734,0.0036611,0.01310365,0.002650579,0.001022413,0.189551,0.4535555,0.01174824,0.07754059,0.001076027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3074899,0.01542001,0.6530471,0.0007260396,0.0003345031,0.002806613,0.01105461,0.006232099,0.002889117],"genre_scores_gemma":[0.3579171,0.002313619,0.6039309,0.0006783675,0.00011171,0.003820032,0.02774563,0.002205147,0.001277465],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1001309,"threshold_uncertainty_score":0.5295492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04394190131553335,"score_gpt":0.3216172380345194,"score_spread":0.2776753367189861,"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."}}