{"id":"W2133658179","doi":"10.1128/aem.67.1.217-224.2001","title":"Development and Optimization of a Novel Immunomagnetic Separation- Bacteriophage Assay for Detection of <i>Salmonella enterica</i> Serovar Enteritidis in Broth","year":2001,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Viral gastroenteritis research and epidemiology","field":"Medicine","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Salmonella; Salmonella enterica; Salmonella enteritidis; Bacteriophage; Serotype; Microbiology; Biology; Immunomagnetic separation; Virology; Detection limit; Phage typing; Population; Bacteria; Chromatography; Chemistry; Escherichia coli; Biochemistry; Medicine","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":[0.0009062552,0.0009937638,0.00074713,0.0004641148,0.0002060744,0.0006654023,0.0006468749,0.0006800487,0.0003497479],"category_scores_gemma":[0.0008030667,0.0003528079,0.000428888,0.0003425951,0.0002815507,0.0003195178,0.0004107728,0.0005396216,0.0004900754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000359339,"about_ca_system_score_gemma":0.0004859259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006804956,"about_ca_topic_score_gemma":0.001264502,"domain_scores_codex":[0.9987707,0.0002811076,0.0001109047,0.0002223413,0.0005311463,0.00008385854],"domain_scores_gemma":[0.9995248,0.000135121,0.00009888715,0.00004002876,0.0001524259,0.00004879636],"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":[0.00003770138,0.00005749032,0.0004637803,0.00005036504,0.000007167076,0.00001411739,0.000008832281,0.0001030054,0.9967164,0.00002873057,0.00001781725,0.002494583],"study_design_scores_gemma":[0.000007815866,0.0004248169,0.002986406,0.000005332876,0.00002394781,0.0001582227,0.00001118271,0.002242418,0.9931825,0.00001117945,0.0009363475,0.000009888079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7866529,0.002411969,0.2065784,0.0001764103,0.0001302729,0.0008370621,0.0007267371,0.0008889824,0.00159716],"genre_scores_gemma":[0.6693665,0.001747544,0.3232433,0.0001341995,0.00004672649,0.0006124251,0.001799061,0.0001039995,0.002946284],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0009937638,"threshold_uncertainty_score":0.004792809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093257529123389,"score_gpt":0.2376994665696285,"score_spread":0.2267668912783946,"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."}}