{"id":"W2763099515","doi":"10.24870/cjb.2017-a93","title":"Classification of enhancer promoter interaction pairs based on expression patterns and distances involved in disease manifestation in human","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Biotechnology","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enhancer; Expression (computer science); Computational biology; Human disease; Genetics; Biology; Disease; Gene expression; Computer science; Gene; Medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001138916,0.00006188716,0.00009156099,0.0002015896,0.00004937569,0.00001717072,0.000144108,0.0001319274,0.000004292386],"category_scores_gemma":[0.00007063311,0.00005968945,0.00002143395,0.00002121845,0.00008810523,0.000008698178,0.00001169478,0.000112744,9.936704e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005050638,"about_ca_system_score_gemma":0.0001188236,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005080781,"about_ca_topic_score_gemma":0.05309654,"domain_scores_codex":[0.9995173,0.00002543452,0.0002146264,0.0001129889,0.00003608413,0.00009363298],"domain_scores_gemma":[0.9994001,0.000004002721,0.0003024313,0.0001967844,0.00003054702,0.00006616386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008594534,0.00004534228,0.2586871,0.00005026066,0.000005541913,0.00003031973,0.00008794097,0.0001381373,0.7342694,0.0001644581,0.0000146892,0.006420852],"study_design_scores_gemma":[0.0006969044,0.0003146714,0.832616,0.0003041162,0.000005868272,0.000003876688,0.000303058,0.002498833,0.1623623,0.0004659875,0.0003224321,0.000105918],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985955,0.00006733508,0.000383481,0.0007705411,0.00007079737,0.00007264413,0.00001473725,7.500279e-7,0.00002415111],"genre_scores_gemma":[0.9997641,0.00006249279,0.0001027492,0.00001876529,0.00001755482,0.000003268068,0.00002011997,0.000006072142,0.0000048136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5739289,"threshold_uncertainty_score":0.964182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115217559564111,"score_gpt":0.2503029576064779,"score_spread":0.2387812016500667,"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."}}