{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001954491,0.0003453235,0.0002149879,0.0005962629,0.0002591031,0.0003532042,0.0002560772,0.0003483215,0.00121039],"category_scores_gemma":[0.0003889841,0.0002904869,0.0001830733,0.0003443018,0.0002390601,0.0002615886,0.0003472135,0.0003633087,0.0007050819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001745462,"about_ca_system_score_gemma":0.00009941024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003384571,"about_ca_topic_score_gemma":0.0009715544,"domain_scores_codex":[0.9996855,0.00004599993,0.00001494251,0.0001013862,0.00008855167,0.00006372155],"domain_scores_gemma":[0.9997559,0.00007188695,0.00004325977,0.00002851533,0.00005271016,0.00004777441],"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":[0.00003325204,0.000006097899,0.000302885,0.000007073849,0.0000012876,0.000004822473,0.000006626432,0.00002316967,0.9987822,0.00002690214,0.00001830262,0.000787444],"study_design_scores_gemma":[0.000007210691,0.0001526421,0.01015904,0.000004825137,0.00001827646,0.00007580953,0.00005204637,0.002524091,0.9857978,0.0001379892,0.001063263,0.000006892706],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717346,0.0003046758,0.02374606,0.0001565412,0.00005012776,0.00007857519,0.001035109,0.0002727413,0.002621561],"genre_scores_gemma":[0.9489079,0.00046683,0.04136692,0.0002619863,0.00005781635,0.0001750289,0.003123769,0.00009998614,0.00553992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00121039,"threshold_uncertainty_score":0.004049182,"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."}}