{"id":"W2970208248","doi":"10.1007/978-1-4939-9748-0_14","title":"Mouse Models for Use in Cryptosporidium Infection Studies and Quantification of Parasite Burden Using Flow Cytometry, qPCR, and Histopathology","year":2019,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Cryptosporidium; Cryptosporidium parvum; Histopathology; Flow cytometry; Biology; Parasite hosting; Diarrhea; Polymerase chain reaction; Real-time polymerase chain reaction; Virology; Pathogenesis; Microbiology; Immunology; Pathology; Medicine; Feces; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003229321,0.003561162,0.001851043,0.007255081,0.002009924,0.002407667,0.002210506,0.004025347,0.01278305],"category_scores_gemma":[0.00143006,0.001335833,0.001969101,0.001649778,0.001441816,0.002052845,0.001081582,0.007885812,0.004220623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428459,"about_ca_system_score_gemma":0.001347977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002522631,"about_ca_topic_score_gemma":0.006646459,"domain_scores_codex":[0.9974253,0.0004127873,0.0003390893,0.0006064581,0.0007522432,0.0004640296],"domain_scores_gemma":[0.997306,0.0003871332,0.0006523734,0.0005566845,0.0005975783,0.000500363],"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":[0.002567824,0.002170858,0.002372936,0.0006912949,0.0001672899,0.0004815256,0.0003388649,0.0006598125,0.9691909,0.00471865,0.004242144,0.01239789],"study_design_scores_gemma":[0.0006290888,0.004629205,0.009865207,0.0006068973,0.0005977903,0.002334594,0.0003837573,0.003285156,0.9149081,0.002939984,0.05964969,0.0001705824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5033302,0.0137241,0.3581153,0.004122453,0.004262917,0.01093696,0.07224249,0.01052208,0.02274338],"genre_scores_gemma":[0.5301575,0.01584253,0.264927,0.003331213,0.0005273912,0.03158688,0.05709412,0.00274553,0.09378783],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01278305,"threshold_uncertainty_score":0.04276359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0699928673579532,"score_gpt":0.4134364791332509,"score_spread":0.3434436117752978,"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."}}