{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000181212,0.0001168079,0.0001020358,0.00005878636,0.00007884394,0.00001754736,0.00009727625,0.0001447199,0.00005565259],"category_scores_gemma":[0.00003438306,0.0001142338,0.0000870398,0.0001075465,0.0001102571,0.000003700703,0.00004793957,0.0001339283,0.000003320983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004028333,"about_ca_system_score_gemma":0.00006925813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001092978,"about_ca_topic_score_gemma":0.00009836435,"domain_scores_codex":[0.9990413,0.00003747866,0.0002320758,0.0002629037,0.0002307962,0.0001954972],"domain_scores_gemma":[0.9993757,0.000006620397,0.00008330495,0.0002348594,0.0002266305,0.00007285667],"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":[0.0000997058,0.00005662748,0.004835934,0.00002071891,0.0000375585,0.000001196166,0.00004817082,0.0007366246,0.99204,0.0000354553,0.0001509862,0.001937045],"study_design_scores_gemma":[0.0002960412,0.0003238225,0.01051613,0.00000876601,0.00002118288,0.00005183281,0.00005929137,0.00283883,0.9829683,0.00008467372,0.002693237,0.0001378967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9509054,0.0001871517,0.048096,0.00003712351,0.0003232877,0.0001550857,0.00002177058,0.000006443452,0.0002677648],"genre_scores_gemma":[0.9775866,0.00002968603,0.02175147,0.00002357468,0.0002345301,0.000007228681,0.00009466169,0.00002170187,0.0002505142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02668126,"threshold_uncertainty_score":0.4658318,"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."}}