{"id":"W1969866614","doi":"10.1039/c1an15547d","title":"Specific detection of Campylobacter jejuni using the bacteriophage NCTC 12673 receptor binding protein as a probe","year":2011,"lang":"en","type":"article","venue":"The Analyst","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Innovates; National Institute for Nanotechnology; University of Alberta","funders":"Alberta Innovates; University of Alberta","keywords":"Campylobacter jejuni; Salmonella enterica; Campylobacter; Glutathione; Microbiology; Surface plasmon resonance; Bovine serum albumin; Chemistry; Bacteriophage; Salmonella; Fusion protein; Bacteria; Biology; Biochemistry; Escherichia coli; Nanoparticle; Enzyme; Gene; Nanotechnology; Recombinant DNA","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002806733,0.0001440402,0.0001476264,0.00004464043,0.0003348879,0.00005087155,0.0003522471,0.00005214773,0.008701202],"category_scores_gemma":[0.00001014954,0.00008239594,0.0001337224,0.000398835,0.0002340226,0.0002605935,0.0001684481,0.0001919359,0.0007880105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001296902,"about_ca_system_score_gemma":0.00000780198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00333396,"about_ca_topic_score_gemma":0.0003926088,"domain_scores_codex":[0.9990199,0.0001297854,0.0002694963,0.000217662,0.0001347108,0.0002284664],"domain_scores_gemma":[0.9992491,0.00001777868,0.0002284327,0.0004434773,0.00001627561,0.00004491574],"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":[0.00004349363,0.00005716956,0.0001537156,0.000003756014,0.00003229924,0.000001532683,0.00103037,0.000003967506,0.9967971,0.00001435298,0.00004450336,0.001817781],"study_design_scores_gemma":[0.0001533339,0.0001126124,0.01173005,0.00004677344,0.00008325416,0.00004298249,0.0006971041,0.00006419241,0.965655,0.00004822555,0.02118272,0.0001837668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995438,0.00001627049,0.0005806466,0.00007470123,0.0001670362,0.0003884085,0.00001164508,0.00002082489,0.003302447],"genre_scores_gemma":[0.9966713,0.00001375808,0.000587413,0.00004041978,0.00006968321,0.00001742135,0.000004652223,0.00001806133,0.002577323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03114207,"threshold_uncertainty_score":0.99999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02911928659816109,"score_gpt":0.2301292881677243,"score_spread":0.2010100015695633,"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."}}