{"id":"W3037432790","doi":"10.1101/2020.06.28.20141945","title":"A Robust, Safe and Scalable Magnetic Nanoparticle Workflow for RNA Extraction of Pathogens from Clinical and Environmental Samples","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"King Abdullah University of Science and Technology; Taibah University; McGill University","keywords":"Biosafety; Isolation (microbiology); Economic shortage; Highly pathogenic; Virology; Environmental science; Microbiology; Biotechnology; Virus; Influenza A virus subtype H5N1; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002952743,0.0001629385,0.0004286703,0.00004441097,0.00005080989,0.0000200949,0.00004389738,0.000190564,0.00005598505],"category_scores_gemma":[0.0005436477,0.0001563203,0.00010006,0.00004522299,0.0001525784,0.0000279232,0.0001389233,0.000311819,0.000004248126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001720665,"about_ca_system_score_gemma":0.00003122589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005264952,"about_ca_topic_score_gemma":0.00001385372,"domain_scores_codex":[0.9986987,0.00007021284,0.0004677251,0.0004721514,0.0001431849,0.0001480955],"domain_scores_gemma":[0.9990326,0.0004488611,0.0001735541,0.0002175075,0.00001780698,0.0001096386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002195085,0.00009288041,0.2957333,0.0001164261,0.00004338055,0.00001277643,0.00009162685,0.000006375795,0.6785044,0.000002018716,0.0000260631,0.02515124],"study_design_scores_gemma":[0.002854339,0.0006924938,0.5566949,0.0003927524,0.000624099,0.00005492258,0.0001922082,0.02775734,0.4077119,0.001050503,0.0016917,0.0002828509],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957311,0.001377307,0.00165476,0.0002850815,0.0002645564,0.0004911959,0.0001108879,0.00004324099,0.00004185519],"genre_scores_gemma":[0.9749355,0.000183723,0.02425273,0.0002634231,0.0002457129,0.00003640019,0.00003066037,0.00002803377,0.00002382599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2707925,"threshold_uncertainty_score":0.6374558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1076916256008387,"score_gpt":0.3149146924638171,"score_spread":0.2072230668629785,"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."}}