{"id":"W637210978","doi":"","title":"Human Promoter Prediction Using DNA Numerical Representation","year":2010,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Representation (politics); Computer science; Natural language processing; Information retrieval; Political science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002184059,0.0001297759,0.0001605173,0.0001076963,0.0003486299,0.00001982431,0.0002697512,0.0002594203,0.0003102091],"category_scores_gemma":[0.00005706705,0.0001534275,0.000184175,0.0002238767,0.0001688057,0.00005555896,0.0001737646,0.0002512636,0.00002718613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002361313,"about_ca_system_score_gemma":0.00004277208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001562964,"about_ca_topic_score_gemma":0.0001790436,"domain_scores_codex":[0.998954,0.0000750328,0.0001402132,0.0003949623,0.0002330854,0.0002027053],"domain_scores_gemma":[0.9991831,0.000005481656,0.0001524689,0.0004052359,0.0001350038,0.0001186884],"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":[0.00005893024,0.00006080714,0.1251373,0.000007997405,0.00005509448,0.00000705634,0.00009957239,0.00003697236,0.8741246,0.00002126502,0.00007930827,0.0003111251],"study_design_scores_gemma":[0.001135681,0.0003104225,0.4779668,0.00002318855,0.0002029169,0.0000500752,0.000467482,0.0005084472,0.5152865,0.0003584443,0.003308556,0.0003814432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982789,0.00001755516,0.0004837505,0.0001442437,0.0001014042,0.0001119075,0.00002609302,0.00001945379,0.000816743],"genre_scores_gemma":[0.9970081,0.000004417271,0.001264532,0.00004226231,0.0001406817,2.827309e-7,0.0001688233,0.00001358515,0.001357313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3588381,"threshold_uncertainty_score":0.6256593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993966606214578,"score_gpt":0.2569308289913326,"score_spread":0.2369911629291868,"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."}}