{"id":"W2104429441","doi":"10.1093/nar/gkj461","title":"Microarray-based DNA methylation profiling: technology and applications","year":2006,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":293,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research","keywords":"Biology; DNA microarray; DNA methylation; Methylated DNA immunoprecipitation; Epigenomics; Illumina Methylation Assay; Epigenetics; Computational biology; Oligonucleotide; Genetics; Methylation; Differentially methylated regions; Bisulfite sequencing; DNA; CpG site; Gene; Gene expression","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005825417,0.00009847015,0.0000893022,0.000313583,0.0002279492,0.00004237932,0.0001642651,0.0002525897,0.00001228205],"category_scores_gemma":[0.00008033562,0.00009925498,0.00003060449,0.0005049786,0.0002595891,0.000003224478,0.00009986788,0.0001754538,0.00002076455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002148156,"about_ca_system_score_gemma":0.00008773045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001535601,"about_ca_topic_score_gemma":0.00001374157,"domain_scores_codex":[0.9988369,0.00009556799,0.0001764163,0.0003851593,0.0002164239,0.0002895416],"domain_scores_gemma":[0.9992257,0.00002861975,0.00004100109,0.0003700568,0.0002805686,0.00005404842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001730795,0.0000476414,0.009450666,0.00001399625,0.000006792314,4.44694e-7,0.000003229905,0.00004230157,0.975929,0.00318695,0.0001299406,0.01117174],"study_design_scores_gemma":[0.0002915046,0.0001404522,0.003236421,0.000003240807,0.000004524441,9.338027e-7,0.00002995736,0.0002112656,0.8939719,0.006423584,0.09558094,0.0001053497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698531,0.002463689,0.02135163,0.0005807829,0.00002108507,0.00051104,0.00001218355,0.00003066154,0.005175803],"genre_scores_gemma":[0.9914287,0.00009258479,0.007277579,0.00001936752,0.000223672,0.0001547475,0.0001705085,0.00002519749,0.0006076737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09545099,"threshold_uncertainty_score":0.4047501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02364223098791593,"score_gpt":0.3265340370640714,"score_spread":0.3028918060761554,"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."}}