{"id":"W4243617628","doi":"10.32920/ryerson.14644122","title":"Detection and Genotyping of Cryptosporidium Spp. in Biofilms and Cattle Feces From the Black River Watershed, Jamaica","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"","keywords":"Cryptosporidium; Feces; Biology; Veterinary medicine; Genotyping; Fecal coliform; Giardia; Cryptosporidium parvum; Surface water; Microbiology; Water quality; Ecology; Genotype; Environmental science; Environmental engineering","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":[0.0002437619,0.0002598386,0.0001946499,0.0007309953,0.0008961534,0.0006373847,0.0002323208,0.0002936751,0.0003259693],"category_scores_gemma":[0.0003764589,0.0001936798,0.0001282879,0.000670834,0.0002902776,0.0001269834,0.0002575515,0.0002441921,0.00008690245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005832807,"about_ca_system_score_gemma":0.0008073355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1016692,"about_ca_topic_score_gemma":0.2694651,"domain_scores_codex":[0.9997537,0.00002088455,0.00001590016,0.00007323629,0.00009438793,0.00004200728],"domain_scores_gemma":[0.9997962,0.00004243548,0.00004598699,0.0000091125,0.0000766568,0.00002965971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001145665,0.0001540982,0.6678008,0.00008784004,0.00002673085,0.0005565837,0.003044481,0.000267342,0.3136662,0.00005411265,0.0001555646,0.01407172],"study_design_scores_gemma":[0.000005258681,0.0001753858,0.9806019,0.00002067224,0.00002033351,0.0002751579,0.003085544,0.0006253393,0.01431372,0.00001580317,0.0008543268,0.000006658991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992734,0.00003896753,0.0001145126,0.00001518866,0.000001061448,0.00001306299,0.0001460418,0.000002474701,0.000395384],"genre_scores_gemma":[0.9956727,0.0002386839,0.001631513,0.0000326396,0.000002000486,0.0000282724,0.0007397259,0.000002174651,0.001652314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1016692,"threshold_uncertainty_score":0.2021548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164500494225561,"score_gpt":0.2277283374247617,"score_spread":0.2160833324825061,"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."}}