{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001940862,0.001245765,0.000725249,0.001529331,0.0007803663,0.001164495,0.001172976,0.001219406,0.002133996],"category_scores_gemma":[0.002277693,0.0008949771,0.0008032439,0.0003980804,0.0006022516,0.0006704246,0.001736501,0.001522582,0.003053537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005609213,"about_ca_system_score_gemma":0.00172017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008288393,"about_ca_topic_score_gemma":0.002046292,"domain_scores_codex":[0.99665,0.0004639666,0.0003550871,0.001070506,0.001235497,0.0002249134],"domain_scores_gemma":[0.9986344,0.0002848281,0.000203584,0.0002374654,0.0004982868,0.0001414037],"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":[0.00009571435,0.00006183791,0.0004289926,0.0001812907,0.00002506984,0.0001199234,0.00006630938,0.0004076743,0.9756773,0.0004364345,0.002205916,0.02029353],"study_design_scores_gemma":[0.00004930238,0.0002225871,0.001877697,0.00006133136,0.0000320695,0.0006990945,0.00006752712,0.01071413,0.9574496,0.0007943588,0.0279493,0.00008308586],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07402746,0.001752644,0.8986334,0.0009950307,0.0006997105,0.00195351,0.003442831,0.01344598,0.005049464],"genre_scores_gemma":[0.1799664,0.001095539,0.8021317,0.0009897193,0.0001893034,0.0017729,0.006864613,0.0008149179,0.006174986],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002133996,"threshold_uncertainty_score":0.0102644,"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."}}