{"id":"W2564047232","doi":"10.1016/s1525-0016(16)34208-3","title":"599. Deep Informatics Utilized to Design MiniPromoters for Driving PAX6-Like Retinal Expression with AAV","year":2015,"lang":"en","type":"article","venue":"Molecular Therapy","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"PAX6; Aniridia; Biology; Transcription factor; Promoter; Reporter gene; Gene expression; Gene; Genetics; Computational biology","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":[0.0004049593,0.0005507875,0.0003121756,0.0004693305,0.0004722405,0.0006794704,0.0005744242,0.000546327,0.01288632],"category_scores_gemma":[0.0002347666,0.0005515857,0.0004792894,0.000253028,0.0003097946,0.0003541496,0.0006250326,0.001083145,0.009438589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004752167,"about_ca_system_score_gemma":0.0005076124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00070648,"about_ca_topic_score_gemma":0.001552956,"domain_scores_codex":[0.9998102,0.00001539325,0.00001509375,0.00005428604,0.00007180437,0.00003326103],"domain_scores_gemma":[0.9998889,0.00001857478,0.00002491057,0.00001878169,0.00001719004,0.00003168354],"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":[0.0001324742,0.0001031628,0.000586395,0.0001488352,0.00001434979,0.00009996757,0.00009360281,0.001003812,0.9530817,0.002929752,0.002463643,0.03934226],"study_design_scores_gemma":[0.00005126303,0.0002573075,0.001946302,0.00003076722,0.00002800284,0.0004097891,0.00003214895,0.009508567,0.8981135,0.0008516919,0.08875064,0.00001980026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2919389,0.001072083,0.615432,0.0004685459,0.0002562324,0.0009112211,0.00713454,0.01264366,0.07014288],"genre_scores_gemma":[0.4039613,0.00133109,0.5032081,0.0004575591,0.00004042141,0.001283032,0.01826602,0.003520152,0.06793228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01288632,"threshold_uncertainty_score":0.043109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316552055101309,"score_gpt":0.260392510062136,"score_spread":0.2372269895111229,"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."}}