{"id":"W338046864","doi":"10.1016/j.ab.2015.04.034","title":"Phagocytosis-coupled flow cytometry for detection and size discrimination of anionic polystyrene particles","year":2015,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"Health Canada","keywords":"Flow cytometry; Polystyrene; Fluorescence; Confocal microscopy; Fluorescence microscope; Confocal; Analytical Chemistry (journal); Microscopy; Phagocytosis; Cytometry; Materials science; Bromide; Chemistry; Biophysics; Chromatography; Molecular biology; Biology; Optics; Physics; Immunology","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":[0.001393658,0.001179235,0.001337036,0.001306742,0.0004901402,0.0006571556,0.0008779023,0.001241153,0.001579971],"category_scores_gemma":[0.001014109,0.0002760165,0.0005518093,0.0007735161,0.0004946815,0.00047016,0.000580571,0.001213112,0.0008691947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004814487,"about_ca_system_score_gemma":0.0004291678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00043042,"about_ca_topic_score_gemma":0.0006528296,"domain_scores_codex":[0.9982834,0.0004612844,0.0001536757,0.0004423966,0.0004908514,0.0001683746],"domain_scores_gemma":[0.9993029,0.0003007546,0.00006713353,0.00007394257,0.0001929024,0.00006237692],"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":[0.0001127487,0.00006390893,0.000239066,0.000120544,0.000009875491,0.0000468665,0.00002863362,0.0001623035,0.9946064,0.0002396262,0.0001015645,0.004268508],"study_design_scores_gemma":[0.00005101227,0.0006969034,0.003488485,0.00002952693,0.00005330396,0.0006760568,0.00003103996,0.01548097,0.9755191,0.0005614572,0.003370779,0.00004128378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4723029,0.006255676,0.5107658,0.0003062499,0.0003349627,0.001436724,0.001295958,0.002015891,0.005285843],"genre_scores_gemma":[0.6235289,0.005131547,0.3573029,0.0006226947,0.000307147,0.002466791,0.002889509,0.0001938869,0.007556548],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001579971,"threshold_uncertainty_score":0.007370472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482608145272025,"score_gpt":0.2424634302690477,"score_spread":0.2276373488163274,"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."}}