{"id":"W3003639078","doi":"10.1016/j.omtm.2020.01.009","title":"A Rapid and Sensitive Nucleic Acid Amplification Technique for Mycoplasma Screening of Cell Therapy Products","year":2020,"lang":"en","type":"article","venue":"Molecular Therapy — Methods & Clinical Development","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Terry Fox Research Institute; Simon Fraser University; Ottawa Hospital; University of British Columbia; University of Victoria; Canada's Michael Smith Genome Sciences Centre","funders":"Networks of Centres of Excellence of Canada; BC Cancer Foundation; Canada Foundation for Innovation","keywords":"Mycoplasma; Nucleic acid; Nat; genomic DNA; Biology; Microbiology; DNA; Virology; Computational biology; Genetics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002348275,0.0002147394,0.0004665634,0.00008900621,0.000170491,0.00001952302,0.0001521847,0.0002640473,0.00007742601],"category_scores_gemma":[0.0004432852,0.0001851518,0.0001585216,0.000258499,0.0002212879,0.00003955657,0.00008357615,0.0002948309,0.00001620872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001610769,"about_ca_system_score_gemma":0.0002226984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005517134,"about_ca_topic_score_gemma":2.271008e-7,"domain_scores_codex":[0.9969758,0.001407784,0.0006820704,0.0005822504,0.00005339934,0.0002987331],"domain_scores_gemma":[0.9986306,0.0004977804,0.0002178077,0.0002573878,0.0003138573,0.00008258034],"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":[0.0008326824,0.0002044279,0.00007982278,0.00003529458,0.0002161491,0.000001461155,0.0003109748,7.275565e-7,0.732329,0.00007816301,0.0001084998,0.2658028],"study_design_scores_gemma":[0.001979223,0.0005467361,0.0008109831,0.00002247466,0.00001490014,0.000007904182,0.00006531059,0.000009844195,0.9290936,0.00009703271,0.0671572,0.0001948065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3110913,0.004779349,0.6812307,0.0007981094,0.0001087793,0.001852192,0.00001984078,0.00005408989,0.00006569613],"genre_scores_gemma":[0.3359195,0.00251396,0.6596273,0.001377655,0.00003511556,0.0003007598,0.0001127145,0.00004707399,0.00006593753],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.265608,"threshold_uncertainty_score":0.7550272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1275637233824634,"score_gpt":0.4086803855476761,"score_spread":0.2811166621652126,"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."}}