{"id":"W2091798944","doi":"10.1016/j.mimet.2010.03.022","title":"Perspective: Microfluidic applications in microbiology","year":2010,"lang":"en","type":"article","venue":"Journal of Microbiological Methods","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Microfluidics; Nanotechnology; Perspective (graphical); Clinical microbiology; Microbiological Techniques; Biochemical engineering; Computational biology; Computer science; Data science; Biology; Engineering; Microbiology; Materials science; Artificial intelligence","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":[0.002011341,0.001805417,0.001675733,0.001933753,0.001515363,0.002695707,0.002493338,0.008757351,0.01853391],"category_scores_gemma":[0.002048866,0.0005044862,0.001139131,0.001489888,0.002430764,0.004702658,0.001206985,0.006367995,0.008008012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001346523,"about_ca_system_score_gemma":0.001334449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009960999,"about_ca_topic_score_gemma":0.003056346,"domain_scores_codex":[0.9990282,0.0002687631,0.00006745812,0.0001577241,0.0003912099,0.00008669249],"domain_scores_gemma":[0.9979548,0.0007751962,0.0001248216,0.00008772466,0.0007663571,0.0002910262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002582214,0.0002197828,0.0003873199,0.007329635,0.0001117816,0.001223852,0.0002391376,0.0006643764,0.01949274,0.1038919,0.6042705,0.2619107],"study_design_scores_gemma":[0.00003407884,0.0001617948,0.0003940374,0.000602121,0.00006022916,0.001610672,0.0001818907,0.0003937121,0.003007008,0.02859254,0.9649187,0.00004314469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001106549,0.7461857,0.01301846,0.1181294,0.09611654,0.00003886092,0.0001864785,0.0002369749,0.02498099],"genre_scores_gemma":[0.01939855,0.6436484,0.02343481,0.07027349,0.2042009,0.0001156671,0.0001476551,0.000082116,0.03869851],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01853391,"threshold_uncertainty_score":0.06200212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185169896674647,"score_gpt":0.3062727269096922,"score_spread":0.2944210279429457,"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."}}