{"id":"W2007555612","doi":"10.1111/lam.12173","title":"A fluorescence-based method coupled with Disruptor filtration for rapid detection of F <b>+</b> RNA phages","year":2013,"lang":"en","type":"article","venue":"Letters in Applied Microbiology","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"McGill University; U.S. Department of Agriculture; U.S. Environmental Protection Agency","keywords":"RNA; Lytic cycle; Filtration (mathematics); Fluorescence; Biology; Chromatography; Bacteriophage; Contamination; Detection limit; Microbiology; Molecular biology; Chemistry; Virology; Escherichia coli; Biochemistry; Gene; Virus; Physics","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":[0.0002717579,0.0001089548,0.0001677848,0.00004660865,0.00003805403,0.000008726119,0.0001113548,0.0000755298,0.0003136118],"category_scores_gemma":[0.00001114456,0.00008607917,0.00003102892,0.0001185461,0.0001681168,0.00004791741,0.0000195253,0.00007724248,0.00003501519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008082722,"about_ca_system_score_gemma":0.000004492415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002126441,"about_ca_topic_score_gemma":0.0000977017,"domain_scores_codex":[0.9992035,0.00008306211,0.000220818,0.0002608369,0.00004208033,0.0001897023],"domain_scores_gemma":[0.9995863,0.0001385457,0.0001106263,0.0001322917,0.000007284383,0.00002499094],"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":[0.0001032924,0.00004296626,0.0004502033,0.0000164764,0.000004520111,2.141118e-7,0.0001150018,0.0002978473,0.9828088,0.00003815461,0.0001839458,0.01593854],"study_design_scores_gemma":[0.001247103,0.0001251962,0.006958762,0.000006229658,0.000007854196,0.000001591158,0.000033895,0.004524956,0.986401,0.00006685359,0.0004923008,0.0001342118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7084352,0.000003351251,0.2896023,0.0009363129,0.00004847263,0.0008185669,0.000008820351,0.00002137017,0.0001255299],"genre_scores_gemma":[0.9641707,5.397171e-7,0.03380573,0.001682022,0.0000128655,0.0002603126,0.00004321386,0.000008499283,0.00001612287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2557966,"threshold_uncertainty_score":0.3510207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00866707723218257,"score_gpt":0.22472284890817,"score_spread":0.2160557716759874,"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."}}