{"id":"W2096219936","doi":"10.1128/aem.70.7.3862-3867.2004","title":"Accurate Estimation of Viral Abundance by Epifluorescence Microscopy","year":2004,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":177,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Glutaraldehyde; Abundance (ecology); Fixation (population genetics); SYBR Green I; Chemistry; Formaldehyde; Biology; Molecular biology; Chromatography; Biochemistry; Real-time polymerase chain reaction; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003162838,0.001176411,0.00138394,0.00153895,0.0007209782,0.001636039,0.00134463,0.001152004,0.002973347],"category_scores_gemma":[0.005021579,0.0008699578,0.0006906543,0.0009104823,0.0008261746,0.001795969,0.001115416,0.00217765,0.002203843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009210141,"about_ca_system_score_gemma":0.0005608395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001956444,"about_ca_topic_score_gemma":0.003076023,"domain_scores_codex":[0.9972337,0.0005928515,0.0002584041,0.0006742785,0.0009947497,0.0002459394],"domain_scores_gemma":[0.9966556,0.001032285,0.0003175646,0.0005369082,0.001368496,0.00008914046],"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":[0.0001206684,0.00004796503,0.004117344,0.000244016,0.00002907285,0.00005198805,0.0001638932,0.0009191156,0.9754384,0.0008841138,0.0005890285,0.01739445],"study_design_scores_gemma":[0.00001595572,0.0002656359,0.02306461,0.0001121591,0.00007102478,0.0002954082,0.0002048787,0.0351047,0.9273139,0.001447971,0.0120174,0.00008650804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.247927,0.003545189,0.7330665,0.0002508012,0.0002736127,0.0006352073,0.003503265,0.002735293,0.008063261],"genre_scores_gemma":[0.4152315,0.007172821,0.5617023,0.000288444,0.00009449234,0.001423144,0.003775165,0.0008810885,0.00943104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003162838,"threshold_uncertainty_score":0.01672685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002698928862600554,"score_gpt":0.1994605606142763,"score_spread":0.1967616317516757,"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."}}