{"id":"W2020302515","doi":"10.1371/journal.pcbi.0030106","title":"A Survey of Genomic Properties for the Detection of Regulatory Polymorphisms","year":2007,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"Natural Sciences and Engineering Research Council of Canada; BC Cancer Foundation; Genome British Columbia; Wellcome Trust; Canadian Institutes of Health Research; Genome Canada; Michael Smith Health Research BC; European Molecular Biology Organization","keywords":"Genetics; Biology; Computational biology; Gene; Regulatory sequence; Single-nucleotide polymorphism; Allele; CpG site; DNA binding site; Locus (genetics); Genomics; Genome; Transcription factor; Promoter; Genotype; Gene expression; DNA methylation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007842005,0.0008156014,0.0009562297,0.004707043,0.0004114345,0.001063703,0.0006198499,0.0007953406,0.0008121135],"category_scores_gemma":[0.02320022,0.0003347123,0.001307906,0.002754826,0.0006544664,0.0009398392,0.0006247164,0.0006732456,0.0004039559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003611698,"about_ca_system_score_gemma":0.0005824447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006267109,"about_ca_topic_score_gemma":0.0008144279,"domain_scores_codex":[0.9962044,0.001894651,0.0002687608,0.0008174641,0.0006756797,0.0001389423],"domain_scores_gemma":[0.9681024,0.02643982,0.001805717,0.001970437,0.001212165,0.000469459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001189018,0.0003305807,0.4899495,0.001095186,0.0008812645,0.0006252353,0.0003993803,0.06151547,0.07972004,0.003027714,0.001383771,0.3598828],"study_design_scores_gemma":[0.0002085307,0.001476768,0.5207628,0.0003058825,0.000676048,0.004190248,0.0003294129,0.4041051,0.04709258,0.01378574,0.006901232,0.0001656525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9137235,0.004197599,0.07814465,0.0002706844,0.00001637004,0.00007098109,0.001618664,0.000615762,0.001341808],"genre_scores_gemma":[0.9517544,0.001001809,0.04310153,0.00005654326,0.00002085945,0.00006754305,0.003799335,0.00006581025,0.000132145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007842005,"threshold_uncertainty_score":0.04147297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02433733132852697,"score_gpt":0.2571879161148566,"score_spread":0.2328505847863297,"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."}}