{"id":"W2089167752","doi":"10.1109/bibm.2010.5706584","title":"Correlating CpG islands, motifs, and sequence variants in human chromosome 21","year":2010,"lang":"en","type":"article","venue":"","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"CpG site; Hidden Markov model; DNA methylation; Promoter; Sequence (biology); Computational biology; Viterbi algorithm; Genetics; Gene; Computer science; Chromosome; Human genome; Epigenetics; Sequence motif; Methylated DNA immunoprecipitation; DNA; Biology; Genome; Artificial intelligence; Gene expression","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":[0.0004855526,0.0001864331,0.0003093114,0.001303828,0.0001914439,0.0002876373,0.0001527311,0.0002403274,0.0006876905],"category_scores_gemma":[0.002860783,0.0001131524,0.0002262863,0.001838549,0.0001470573,0.0001437123,0.0002947162,0.0001727252,0.0001836401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001806186,"about_ca_system_score_gemma":0.0002416918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005080099,"about_ca_topic_score_gemma":0.008846039,"domain_scores_codex":[0.9997088,0.00007216422,0.00002117084,0.000107623,0.00006388867,0.00002627969],"domain_scores_gemma":[0.9988499,0.0006877407,0.0001772053,0.0001001119,0.0001246496,0.00006045857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001061566,0.0001018032,0.7853862,0.0003004924,0.00055187,0.0007283066,0.0003067885,0.03497721,0.0682937,0.0007503621,0.002393988,0.1051477],"study_design_scores_gemma":[0.00004097672,0.0001784401,0.8622482,0.00001532069,0.000206547,0.001053841,0.0001645916,0.1079816,0.0219341,0.002120428,0.004019802,0.00003612819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893583,0.0005970719,0.007555136,0.00005498641,0.000003934034,0.00001406886,0.001945767,0.0002183876,0.0002522921],"genre_scores_gemma":[0.9798375,0.0002399964,0.01363926,0.0000201333,0.00000863755,0.00001817935,0.005709201,0.00003032654,0.0004967696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005080099,"threshold_uncertainty_score":0.01010108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299608738599463,"score_gpt":0.2718375591973169,"score_spread":0.2588414718113223,"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."}}