{"id":"W3134740655","doi":"10.1021/acsestwater.0c00113","title":"Outer Limits of Flow Cytometry to Quantify Viruses in Water","year":2021,"lang":"en","type":"article","venue":"ACS ES&T Water","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Alberta Innovates; Canada Foundation for Innovation","keywords":"Flow cytometry; Environmental science; Flow (mathematics); Biology; Physics; Mechanics; Molecular biology","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":[0.01065297,0.0013889,0.001029259,0.00222711,0.001018015,0.004477334,0.001922291,0.003192459,0.002933593],"category_scores_gemma":[0.02011501,0.0009782886,0.0006580141,0.0007881075,0.003235959,0.003973644,0.003113345,0.003321883,0.001991909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001719666,"about_ca_system_score_gemma":0.001151577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001190212,"about_ca_topic_score_gemma":0.0007521054,"domain_scores_codex":[0.9893728,0.003309737,0.0005551211,0.001875809,0.004468716,0.0004177835],"domain_scores_gemma":[0.9832691,0.01257281,0.0009375606,0.0009826039,0.001896265,0.0003415419],"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":[0.0002636407,0.0001513772,0.004667759,0.001274973,0.00009172485,0.0001625101,0.0008955429,0.003241008,0.8849894,0.03334753,0.003218568,0.06769592],"study_design_scores_gemma":[0.00003550444,0.0007654336,0.004179237,0.0008978677,0.0001047285,0.001009249,0.0004684507,0.05111669,0.8026249,0.05140489,0.0872102,0.0001828516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07182803,0.02067623,0.8811755,0.003207758,0.001097666,0.0003973503,0.0005580481,0.001599001,0.01946039],"genre_scores_gemma":[0.44256,0.0155917,0.5224127,0.004105864,0.0008399776,0.001983492,0.001000399,0.0007310212,0.01077488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01065297,"threshold_uncertainty_score":0.05633897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684317802237713,"score_gpt":0.2790626629808221,"score_spread":0.2522194849584449,"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."}}