{"id":"W2334642566","doi":"10.1021/sb500045w","title":"A Multiplexed Transcription Activator-like Effector System for Detecting Specific DNA Sequences","year":2014,"lang":"en","type":"article","venue":"ACS Synthetic Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Research Services, University of Calgary; Genome Alberta; Alberta Innovates; Alberta Innovates - Technology Futures","keywords":"DNA; Effector; Biology; DNA binding site; Transcription (linguistics); DNA-binding protein; DNA sequencing; Molecular biology; Genetics; Computational biology; Transcription factor; Promoter; Gene; Cell biology; Gene expression","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006472675,0.0007609556,0.0007582981,0.0006136605,0.0003326791,0.0008537771,0.001026312,0.001040751,0.001299722],"category_scores_gemma":[0.0003729072,0.0004426942,0.0003844168,0.0003459045,0.0004666058,0.0006201172,0.0007666313,0.001141681,0.0007909996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004521665,"about_ca_system_score_gemma":0.0002460127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002229733,"about_ca_topic_score_gemma":0.0003886935,"domain_scores_codex":[0.9991365,0.00009638722,0.00004888301,0.0003639503,0.0002730876,0.00008120976],"domain_scores_gemma":[0.9997272,0.00006874687,0.000072094,0.00004639436,0.0000291611,0.00005638442],"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":[0.00004835446,0.00003078731,0.00007172546,0.00002803852,0.000007436885,0.00003641364,0.00001702995,0.00005276049,0.9977792,0.0001940984,0.00006550875,0.001668596],"study_design_scores_gemma":[0.000008080806,0.00009733588,0.0002399815,0.000001585702,0.000008605829,0.0001621294,0.000006489922,0.00189298,0.9961765,0.00004469381,0.001351704,0.00000993179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6445277,0.001054183,0.3469565,0.0003358346,0.0002561063,0.0003467229,0.001077876,0.003170511,0.002274649],"genre_scores_gemma":[0.7765763,0.0006168722,0.2085544,0.0002391209,0.00006349864,0.0003733325,0.001251302,0.0001124295,0.01221281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001299722,"threshold_uncertainty_score":0.00434798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163167100441974,"score_gpt":0.2754598127344996,"score_spread":0.2638281417300798,"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."}}