{"id":"W1605578432","doi":"10.1186/s12866-015-0426-4","title":"Development of a comparative genomic fingerprinting assay for rapid and high resolution genotyping of Arcobacter butzleri","year":2015,"lang":"en","type":"article","venue":"BMC Microbiology","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Agriculture and Agri-Food Canada; University of Lethbridge","funders":"University of British Columbia; Canada's Michael Smith Genome Sciences Centre","keywords":"Subtyping; Biology; Arcobacter; Genotyping; Genetics; Typing; Context (archaeology); Molecular epidemiology; Computational biology; Population; Clade; Genotype; Gene; Phylogenetics; 16S ribosomal RNA","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":[0.001288729,0.0006259662,0.0005522213,0.001210501,0.0001666326,0.0005362726,0.000600173,0.000717082,0.0006610646],"category_scores_gemma":[0.002164367,0.0002635311,0.0005377575,0.0007657749,0.0002457061,0.0003621808,0.0005623906,0.0006499211,0.0004265485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003122203,"about_ca_system_score_gemma":0.0005601865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007536662,"about_ca_topic_score_gemma":0.001008917,"domain_scores_codex":[0.9983368,0.0003751488,0.0001397769,0.000570041,0.0004734812,0.0001048114],"domain_scores_gemma":[0.9990476,0.0003258607,0.0002181209,0.0001282239,0.0002006614,0.00007953593],"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":[0.0001866741,0.0001832698,0.01534366,0.0001268121,0.00005132725,0.00006228332,0.00005882117,0.0008224818,0.9532245,0.00008107983,0.0001475001,0.02971149],"study_design_scores_gemma":[0.00008388427,0.002294457,0.09288316,0.00006430219,0.0002098064,0.001264588,0.00009697348,0.02047232,0.877433,0.0001961077,0.004946891,0.00005447964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8548081,0.001133699,0.1384155,0.0001772364,0.0000364899,0.0006548542,0.003158154,0.0005002924,0.001115725],"genre_scores_gemma":[0.6525236,0.0006637996,0.3384843,0.0001284856,0.00001807936,0.0007020372,0.006879046,0.00003816572,0.0005624981],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001288729,"threshold_uncertainty_score":0.006815493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09880039000095263,"score_gpt":0.269026444512231,"score_spread":0.1702260545112784,"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."}}