{"id":"W2333238987","doi":"10.1021/ac500244g","title":"Rapid Enumeration of Phage in Monodisperse Emulsions","year":2014,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Glycomics Centre; Canada Foundation for Innovation; Alberta Innovates; Alberta Innovates - Health Solutions; Alberta Innovates - Technology Futures","keywords":"Enumeration; Lytic cycle; Chemistry; Bacteriophage; Bacteria; Dispersity; Fluorescence; Bacterial virus; Microbiology; Nanotechnology; Biophysics; Biology; Biochemistry; Physics; Virology; Escherichia coli; Materials science","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":[0.0001480143,0.00008451696,0.0001338784,0.00004409227,0.00001144289,0.00000517379,0.00008045686,0.0000717173,0.0001912682],"category_scores_gemma":[0.00006670904,0.00008722036,0.00003106225,0.000341101,0.00005154961,0.00005005865,0.00001507872,0.000141221,0.000008947275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004644104,"about_ca_system_score_gemma":0.000007531946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002723885,"about_ca_topic_score_gemma":1.08251e-7,"domain_scores_codex":[0.9994235,0.000005349845,0.0002680354,0.000100466,0.000083714,0.0001189035],"domain_scores_gemma":[0.9997203,0.00002358786,0.00002274836,0.0001624845,0.00004904854,0.00002179303],"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":[0.000004886373,0.00004110945,0.0004798963,0.0001094018,0.00001540907,0.00000197264,0.00006248955,0.0000914886,0.9806842,0.006449549,0.003856245,0.008203335],"study_design_scores_gemma":[0.0001794338,0.000008118067,0.0003327133,0.00002374483,0.00000715559,0.000002147831,0.00003386146,0.05393978,0.9398444,0.0003875034,0.005137333,0.0001038148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7206334,0.0001281605,0.1261419,0.00008927629,0.00005014654,0.00009412431,0.00001107616,0.00019583,0.152656],"genre_scores_gemma":[0.9993982,0.000009672559,0.0002909807,0.00003064024,0.00004107611,0.000005466343,0.00004485566,0.00001076036,0.0001682917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2787648,"threshold_uncertainty_score":0.3556743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00910132952397344,"score_gpt":0.227014751041368,"score_spread":0.2179134215173946,"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."}}