{"id":"W2923697735","doi":"10.1371/journal.pntd.0007259","title":"A protocol to count Cryptosporidium oocysts by flow cytometry without antibody staining","year":2019,"lang":"en","type":"article","venue":"PLoS neglected tropical diseases","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"McGill University Health Centre; Public Health Agency; Public Health Agency of Canada; McGill University","keywords":"Cryptosporidium; Cryptosporidium parvum; Biology; Flow cytometry; Microbiology; Population; Staining; Antibody; Feces; Monoclonal antibody; Virology; Immunology; Medicine","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":[0.002922478,0.002991993,0.001730968,0.003824255,0.002047604,0.001198344,0.00295835,0.002565553,0.02074665],"category_scores_gemma":[0.002722928,0.001758065,0.001609457,0.001875086,0.001128855,0.001032752,0.001464368,0.004115975,0.01682578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007264242,"about_ca_system_score_gemma":0.002014859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008298335,"about_ca_topic_score_gemma":0.001296959,"domain_scores_codex":[0.9950354,0.0009606196,0.0007758453,0.001040543,0.001669734,0.0005177823],"domain_scores_gemma":[0.9975194,0.0005330457,0.0001939221,0.0006354642,0.0008994238,0.0002185913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004969039,0.000480578,0.0007775951,0.001333365,0.00006879836,0.0004301461,0.000237556,0.0006213266,0.9455656,0.002051705,0.0174066,0.03052987],"study_design_scores_gemma":[0.0003402986,0.001657496,0.005942441,0.000483503,0.0002208043,0.001936096,0.00009091162,0.007365246,0.6623474,0.002422272,0.3168604,0.0003330658],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.03003321,0.003384384,0.8846095,0.0009991444,0.002762828,0.02811973,0.01614512,0.01655551,0.01739051],"genre_scores_gemma":[0.02660132,0.002834345,0.8581614,0.001153642,0.0003706608,0.06399634,0.02754631,0.00160543,0.01773051],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.02074665,"threshold_uncertainty_score":0.06940442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008053003572866127,"score_gpt":0.2854727778032274,"score_spread":0.2774197742303613,"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."}}