{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002781749,0.0003161664,0.0002680866,0.001079512,0.0001172888,0.000375071,0.0002547304,0.000299126,0.001329623],"category_scores_gemma":[0.001805704,0.0001296579,0.000332091,0.0008050999,0.000146937,0.0003933755,0.0002490195,0.0002989398,0.0006981931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002898921,"about_ca_system_score_gemma":0.0003987029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001316904,"about_ca_topic_score_gemma":0.001144664,"domain_scores_codex":[0.9998065,0.00004561005,0.00001114333,0.00006064368,0.00006181236,0.00001436429],"domain_scores_gemma":[0.9995366,0.0001985067,0.00007222428,0.0000368894,0.0001395568,0.000016274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009553558,0.0001275426,0.0213753,0.000582957,0.00006231494,0.0006360112,0.000190677,0.2054833,0.2536741,0.01066767,0.005279867,0.5009649],"study_design_scores_gemma":[0.0000201552,0.0001086219,0.005160671,0.00003768893,0.00001981294,0.0002581131,0.00004446499,0.9483451,0.03758622,0.005197394,0.00319647,0.00002525289],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2133196,0.0009504615,0.7744229,0.0002325905,0.00005542377,0.00008219336,0.001885686,0.004764203,0.004287129],"genre_scores_gemma":[0.6609884,0.0006999975,0.332351,0.00006971548,0.00002126664,0.00009813519,0.003157604,0.0001005393,0.00251325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001329623,"threshold_uncertainty_score":0.004448056,"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."}}