{"id":"W4395665744","doi":"10.17504/protocols.io.bp2l62b11gqe/v1","title":"MERS-CoV Mpro large scale purification protocol v1","year":2024,"lang":"en","type":"preprint","venue":"","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health","keywords":"Scale (ratio); Protocol (science); Computer science; Virology; Environmental science; Computational biology; Biology; Geography; Medicine; Cartography","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":[0.0015832,0.002525158,0.00217117,0.002548916,0.001835423,0.002128933,0.00286323,0.001306874,0.04499628],"category_scores_gemma":[0.002043588,0.00175441,0.001345481,0.00207381,0.0006529783,0.0009816104,0.001721977,0.004615246,0.1015284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007366643,"about_ca_system_score_gemma":0.001398758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001886778,"about_ca_topic_score_gemma":0.003091705,"domain_scores_codex":[0.9977933,0.0003466718,0.0002254572,0.0004280809,0.0008096474,0.0003969168],"domain_scores_gemma":[0.9991856,0.0001241205,0.00004531868,0.0002930558,0.0002238905,0.0001280172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001041552,0.0003739981,0.0007393164,0.00186709,0.0001539834,0.0004019816,0.0002898628,0.0005981663,0.749024,0.004754257,0.206088,0.03466763],"study_design_scores_gemma":[0.0001898056,0.0003227883,0.002245943,0.0002315518,0.0001121925,0.001129711,0.00008760077,0.001840712,0.3315977,0.002277934,0.6598111,0.0001529616],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.05395019,0.01444092,0.4977794,0.002753599,0.003505098,0.01619531,0.3072223,0.03565535,0.06849786],"genre_scores_gemma":[0.04327066,0.0075332,0.2078788,0.001612676,0.0005897809,0.01429151,0.6265637,0.007329606,0.09093007],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.04499628,"threshold_uncertainty_score":0.1505276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04480612873192007,"score_gpt":0.3908423297075381,"score_spread":0.346036200975618,"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."}}