{"id":"W2005061553","doi":"10.1016/s0378-1135(03)00100-7","title":"Partial genome sequencing of Rhodococcus equi ATCC 33701","year":2003,"lang":"en","type":"article","venue":"Veterinary Microbiology","topic":"Infectious Disease Case Reports and Treatments","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rhodococcus equi; Biology; Virulence; Genome; Whole genome sequencing; Gene; Genetics; Mycobacterium tuberculosis; Mycobacterium; Sequence analysis; Homology (biology); Organism; Microbiology; Tuberculosis; Bacteria","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003885151,0.0008053996,0.00106522,0.001079344,0.0005636316,0.0007596547,0.0006066724,0.0008330322,0.001161125],"category_scores_gemma":[0.001292897,0.0003104462,0.0009198157,0.001690337,0.000257155,0.0003175536,0.0004963462,0.001022215,0.001429632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004496914,"about_ca_system_score_gemma":0.001204697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01433669,"about_ca_topic_score_gemma":0.01227763,"domain_scores_codex":[0.9994475,0.0000808685,0.00007885609,0.0001124589,0.0001900837,0.00009025044],"domain_scores_gemma":[0.9992132,0.000223905,0.00009144885,0.0001081215,0.0002812048,0.00008196712],"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":[0.0008571962,0.0002272769,0.00411516,0.0004910763,0.00007598952,0.0008242369,0.0005099009,0.0004937826,0.9750497,0.0001671286,0.0017901,0.01539845],"study_design_scores_gemma":[0.0002210337,0.002177128,0.3270013,0.0003125186,0.001177309,0.006006598,0.003280135,0.003963392,0.5750633,0.0004201773,0.08021749,0.0001596037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9292131,0.002630965,0.005376188,0.000659163,0.0001783285,0.0003330201,0.05601922,0.0002091954,0.005380781],"genre_scores_gemma":[0.758104,0.002397859,0.02176294,0.0005833225,0.00007400905,0.0003629854,0.2090529,0.0002734021,0.00738867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01433669,"threshold_uncertainty_score":0.02850652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04431369537141379,"score_gpt":0.2956204986074127,"score_spread":0.251306803235999,"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."}}