{"id":"W2346028445","doi":"10.1016/j.cell.2016.04.059","title":"Rapid, Low-Cost Detection of Zika Virus Using Programmable Biomolecular Components","year":2016,"lang":"en","type":"article","venue":"Cell","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":1477,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Hansjörg Wyss Institute for Biologically Inspired Engineering, Harvard University; Defense Threat Reduction Agency; National Institutes of Health; Arizona State University","keywords":"Zika virus; Biology; CRISPR; Computational biology; Dengue virus; Virology; Flavivirus; Guide RNA; Ebola virus; Dengue fever; NASBA; Virus; Cas9; RNA; Genetics; Gene","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":[0.000204481,0.0003892964,0.000257762,0.0002499438,0.0001545857,0.0007454501,0.0005655382,0.0004642898,0.001907659],"category_scores_gemma":[0.0003903092,0.0001930979,0.0001820329,0.0001566488,0.0002886854,0.000473608,0.0004294694,0.000535491,0.000868931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003994702,"about_ca_system_score_gemma":0.0002615584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000335994,"about_ca_topic_score_gemma":0.0006585462,"domain_scores_codex":[0.9997643,0.00002614109,0.0000106346,0.00005925112,0.0001063592,0.00003345145],"domain_scores_gemma":[0.9998636,0.00005340269,0.0000195064,0.00001711844,0.00002457544,0.00002177035],"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":[0.00004100419,0.00001300079,0.0001475991,0.00003975923,0.000003099636,0.00001982956,0.00001964461,0.00006285754,0.9933078,0.0004100336,0.0001872368,0.005748097],"study_design_scores_gemma":[0.00001270069,0.00008960642,0.0005184461,0.000005403274,0.000007875021,0.00009598864,0.00002688526,0.001343273,0.9928504,0.0001203352,0.004921801,0.000007212074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7904456,0.004795321,0.1873445,0.0009210062,0.0004337614,0.0004720332,0.0009113055,0.001714647,0.01296184],"genre_scores_gemma":[0.8814047,0.002362487,0.1032904,0.000557901,0.00004753043,0.0004163752,0.0008346383,0.0000723057,0.01101376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001907659,"threshold_uncertainty_score":0.006381691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179507261009543,"score_gpt":0.2510393946378769,"score_spread":0.2330886685369226,"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."}}