{"id":"W2093895030","doi":"10.1016/j.ygeno.2005.06.014","title":"Identification of pathogenic Helicobacter species by chaperonin-60 differentiation on plastic DNA arrays","year":2005,"lang":"en","type":"article","venue":"Genomics","topic":"Enterobacteriaceae and Cronobacter Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Plant Biotechnology Institute; BC Centre for Disease Control; University of British Columbia; Université de Montréal; Biotechnology Research Institute","funders":"","keywords":"Biology; Campylobacter; 16S ribosomal RNA; Campylobacter jejuni; Oligonucleotide; Biotinylation; Polymerase chain reaction; Helicobacter; DNA microarray; DNA; Molecular probe; Microbiology; Hybridization probe; Bacteria; Molecular biology; Gene; Genetics; Helicobacter pylori; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008567085,0.0001244654,0.0001119416,0.00004274285,0.00005070387,0.00003840284,0.0001824845,0.00009515176,0.00008631044],"category_scores_gemma":[0.00002419113,0.0001228264,0.00007433362,0.00003016427,0.00004591523,0.000006913104,0.00006477199,0.00006448678,0.00009747284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004378563,"about_ca_system_score_gemma":0.0000252073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001446853,"about_ca_topic_score_gemma":0.00001924494,"domain_scores_codex":[0.9991146,0.00003736798,0.000262796,0.0002677085,0.0001130791,0.0002044519],"domain_scores_gemma":[0.9994524,0.000009803754,0.0001187762,0.00031566,0.00005017624,0.00005316904],"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":[0.00008468995,0.00009983171,0.001429801,0.00001229094,0.00003410944,1.549465e-7,0.00008172672,0.00005487786,0.9961913,0.00002192265,0.0006501762,0.001339138],"study_design_scores_gemma":[0.0003552674,0.0001606627,0.02221853,0.000006503837,0.00001258307,0.000001620857,0.00003876387,0.0001000037,0.9566245,0.000007029862,0.02035256,0.0001219874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974124,0.0001077635,0.001841662,0.00009011445,0.0001301373,0.0001299917,0.0001330619,0.000007182592,0.0001476207],"genre_scores_gemma":[0.9975296,0.0003404537,0.00005553149,0.00007180353,0.0002714709,0.00001494048,0.0005728261,0.00002126533,0.00112215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03956679,"threshold_uncertainty_score":0.5008717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00968464490859007,"score_gpt":0.2289833967631251,"score_spread":0.219298751854535,"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."}}