{"id":"W2515651902","doi":"10.1093/bioinformatics/btw525","title":"Gene Slider: sequence logo interactive data-visualization for education and research","year":2016,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Source code; JavaScript; Visualization; Computational biology; Biology; World Wide Web; Programming language; Artificial intelligence","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":[0.0003670377,0.00007774855,0.00006747503,0.00005111838,0.00009330268,0.0000471423,0.0002179202,0.00008267674,0.000003344152],"category_scores_gemma":[0.0002885994,0.00005855953,0.00001525354,0.00004991814,0.00007155647,0.00002310045,0.0002397095,0.0000291745,0.000008556452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002828171,"about_ca_system_score_gemma":0.0001902684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005406927,"about_ca_topic_score_gemma":0.00001135305,"domain_scores_codex":[0.9993682,0.00002231387,0.0001984989,0.0001585392,0.00009183531,0.0001606086],"domain_scores_gemma":[0.9991768,0.00004136898,0.0000870333,0.0004094287,0.0002332766,0.00005211032],"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":[0.0001234134,0.0001810964,0.001759783,0.0003046824,0.0001028232,3.090121e-7,0.001039614,0.00001294992,0.6296129,0.005192855,0.02509896,0.3365706],"study_design_scores_gemma":[0.003355438,0.001816986,0.003084147,0.0003623762,0.00009461414,0.0001817757,0.004804533,0.1481421,0.4429618,0.009716404,0.3840761,0.001403681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8380477,0.0002777216,0.158918,0.0003857093,0.00030293,0.0006393106,0.0004915674,0.00001520076,0.0009218927],"genre_scores_gemma":[0.9504297,0.0007617125,0.04621243,0.0001684245,0.0002021559,0.00004428043,0.001484566,0.00001983004,0.0006769107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3589772,"threshold_uncertainty_score":0.2387989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05318714836387164,"score_gpt":0.3748135805252692,"score_spread":0.3216264321613975,"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."}}