{"id":"W2197342382","doi":"10.1007/s00604-015-1698-y","title":"SERS based point-of-care detection of food-borne pathogens","year":2015,"lang":"en","type":"article","venue":"Microchimica Acta","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":120,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Pathogenic bacteria; Pseudomonas aeruginosa; Microbiology; Listeria monocytogenes; Food science; Biology; Bacteria","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":[],"consensus_categories":[],"category_scores_codex":[0.00005692331,0.0001074714,0.0001716883,0.00009487173,0.00001565599,0.000006710685,0.00007693355,0.0001030422,0.00001141588],"category_scores_gemma":[0.00002761431,0.0001051035,0.00009627161,0.0001899874,0.00003159677,0.00004531419,0.00001318516,0.0001050801,0.000007986034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004976195,"about_ca_system_score_gemma":0.00001499759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008525821,"about_ca_topic_score_gemma":0.00002741994,"domain_scores_codex":[0.9994291,0.00001639498,0.000200273,0.0001148276,0.00009953189,0.0001398626],"domain_scores_gemma":[0.9996032,0.00001870968,0.00004038239,0.0001682467,0.00009220622,0.00007726328],"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":[0.00002508835,0.00001431465,0.00002279962,0.000100846,0.00002107132,3.713747e-7,0.0001229781,0.000445718,0.9970425,0.00000803921,0.0001357757,0.002060494],"study_design_scores_gemma":[0.0003270068,0.0002012511,0.0004624068,0.00003310345,0.00003134323,0.00000271264,0.000207443,0.01149332,0.9855638,0.00004150996,0.001520523,0.0001155843],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956691,0.0001398002,0.002962586,0.00005719554,0.0001792795,0.00008327496,0.00004626646,0.0001024394,0.0007600411],"genre_scores_gemma":[0.9991231,0.000008030633,0.0007722536,0.00001932553,0.00003460834,0.00000198159,0.000008541288,0.00002260969,0.00000957538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01147871,"threshold_uncertainty_score":0.4285996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104742411610045,"score_gpt":0.1944751784037525,"score_spread":0.184000937242748,"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."}}