{"id":"W2167698302","doi":"10.1534/genetics.110.122200","title":"Functional Dissection of <i>IME1</i> Transcription Using Quantitative Promoter–Reporter Screening","year":2010,"lang":"en","type":"article","venue":"Genetics","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Israel Science Foundation","keywords":"Biology; Promoter; Transcription factor; Genetics; Gene; Reporter gene; Saccharomyces cerevisiae; Computational biology; Transcription (linguistics); 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":[0.0009237442,0.0006949625,0.0004719404,0.0006870034,0.0002414808,0.0005632075,0.0006906757,0.0004080087,0.001594127],"category_scores_gemma":[0.0005028481,0.0002896783,0.0005580351,0.0003451369,0.0006427535,0.0003141228,0.0004164211,0.0008649848,0.0007197384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006772568,"about_ca_system_score_gemma":0.0003468326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000764312,"about_ca_topic_score_gemma":0.0009098965,"domain_scores_codex":[0.9994211,0.0001200621,0.00006604031,0.0001320386,0.0001828755,0.00007787715],"domain_scores_gemma":[0.9995034,0.0001853527,0.0001276847,0.00006918281,0.00005446807,0.00005994226],"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":[0.00003578258,0.00001138996,0.0001347785,0.00002493645,0.000002503957,0.0000124808,0.000008740136,0.00008583508,0.9988488,0.0001138096,0.00001216576,0.0007087864],"study_design_scores_gemma":[0.000004467417,0.00004227458,0.0009006565,0.000003607557,0.000005425366,0.00008557333,0.0000132595,0.001135212,0.996965,0.00004212077,0.000797762,0.000004639499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8704794,0.0013059,0.1211403,0.0002969268,0.00004814235,0.0002149425,0.003578991,0.0008675636,0.002067765],"genre_scores_gemma":[0.9350249,0.0008428426,0.05723272,0.0001126156,0.00001378812,0.0001836828,0.00386748,0.000285675,0.002436223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001594127,"threshold_uncertainty_score":0.005332887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0465839551272601,"score_gpt":0.3105616107308707,"score_spread":0.2639776556036106,"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."}}