{"id":"W1987491337","doi":"10.1016/j.mimet.2004.04.005","title":"Evaluation of an automated immunomagnetic separation method for the rapid detection of Salmonella species in poultry environmental samples","year":2004,"lang":"en","type":"article","venue":"Journal of Microbiological Methods","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Salmonella; Immunomagnetic separation; Biology; Enterobacteriaceae; Food science; Chromatography; Microbiology; Veterinary medicine; Biotechnology; Bacteria; Escherichia coli; Chemistry; Medicine; Biochemistry","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":[0.001587026,0.0005022608,0.0003945136,0.0006191863,0.0004818906,0.0006508143,0.001128124,0.001359317,0.0006003956],"category_scores_gemma":[0.002347908,0.000431821,0.0002594661,0.0002824983,0.0004873902,0.0003432021,0.0003315519,0.0005110084,0.0004705474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005040677,"about_ca_system_score_gemma":0.0007740493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001572339,"about_ca_topic_score_gemma":0.003589628,"domain_scores_codex":[0.997766,0.0005695411,0.00007580518,0.0002459327,0.001257285,0.00008557097],"domain_scores_gemma":[0.9980761,0.0008663007,0.0001754523,0.0001162579,0.0006536125,0.000112325],"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":[0.0008206648,0.0005055005,0.005097554,0.0001195418,0.00005061174,0.0001211996,0.00009258079,0.0002603537,0.9703774,0.0001092517,0.0003215298,0.02212374],"study_design_scores_gemma":[0.0002654934,0.004397905,0.03818484,0.00002520645,0.0002002355,0.001759666,0.0001404757,0.02065725,0.9295501,0.0001510167,0.004597479,0.00007045342],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9424893,0.00137764,0.05334264,0.0005226103,0.0002827509,0.0003041318,0.0002453438,0.0004038019,0.001031756],"genre_scores_gemma":[0.9022577,0.000826875,0.09316201,0.0005131705,0.0001312778,0.0002120589,0.0005175819,0.00004733976,0.002331908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001587026,"threshold_uncertainty_score":0.008393109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08537403073480271,"score_gpt":0.3922465209098386,"score_spread":0.3068724901750359,"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."}}