{"id":"W2084914723","doi":"10.1371/journal.pone.0010777","title":"Optimisation of Bioluminescent Reporters for Use with Mycobacteria","year":2010,"lang":"en","type":"article","venue":"PLoS ONE","topic":"bioluminescence and chemiluminescence research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":373,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Barts and The London School of Medicine and Dentistry; Biotechnology and Biological Sciences Research Council; Bill and Melinda Gates Foundation; McMaster University; Imperial College London; Queen Mary University of London; National Institute for Health and Care Research","keywords":"Luciferase; Bioluminescence; Luciferases; Bioluminescence imaging; Mycobacterium smegmatis; Mycobacterium tuberculosis; Biology; In vivo; Mycobacterium; Microbiology; Operon; Reporter gene; Plasmid; Tuberculosis; Gene; Gene expression; Biochemistry; Bacteria; Genetics; Transfection; Medicine; Pathology; Escherichia coli","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":[0.002152565,0.001064736,0.0008827329,0.0006028515,0.0002519382,0.001139335,0.000790582,0.0008276334,0.0009691585],"category_scores_gemma":[0.001990407,0.0004549317,0.0008154138,0.0008903718,0.0004740583,0.0006310876,0.0007015463,0.001481478,0.001226124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006038288,"about_ca_system_score_gemma":0.0004117203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003523622,"about_ca_topic_score_gemma":0.0003940386,"domain_scores_codex":[0.9978276,0.0005418896,0.0003055096,0.000325049,0.0007812578,0.0002187685],"domain_scores_gemma":[0.9990822,0.0002686385,0.0002357465,0.0001081373,0.0002183711,0.00008685151],"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":[0.0001293502,0.00006600303,0.0002275855,0.0002613776,0.00001191894,0.00005655588,0.00005809335,0.0004016397,0.9953756,0.0001697024,0.00007231552,0.003169906],"study_design_scores_gemma":[0.00001875305,0.0003095186,0.0005750956,0.00003952489,0.00002378326,0.000168843,0.00002952814,0.0007948219,0.9925601,0.00005591323,0.005407284,0.00001687095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8136663,0.01128958,0.1669675,0.0006696428,0.0003836296,0.001181931,0.001562866,0.0009302667,0.003348275],"genre_scores_gemma":[0.7346799,0.01089214,0.2422154,0.0002900747,0.0001063953,0.001528524,0.00477436,0.000512814,0.005000293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002152565,"threshold_uncertainty_score":0.01138395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04146726729352496,"score_gpt":0.255074893932864,"score_spread":0.213607626639339,"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."}}