{"id":"W3005636948","doi":"10.1371/journal.pone.0228986","title":"Cryptosporidium spp.: Human incidence, molecular characterization and associated exposures in Québec, Canada (2016-2017)","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Public Health Agency of Canada; Ministère de la Santé et des Services Sociaux (Québec); Université de Montréal; Health Canada; Institut National de Santé Publique du Québec","funders":"","keywords":"Epidemiology; Incidence (geometry); Cryptosporidium; Subtyping; Medicine; Diarrhea; Molecular epidemiology; Feces; Cryptosporidium parvum; Public health; Demography; Biology; Internal medicine; Virology; Pathology; Genotype; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005672886,0.00009219562,0.0001898036,0.00003549747,0.0001000828,0.00001020946,0.00006068973,0.0001063928,0.0001938687],"category_scores_gemma":[0.0003422267,0.000098114,0.00001227479,0.0001002331,0.00004526519,0.00005040719,0.00003244915,0.0001533614,0.00004700211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007410059,"about_ca_system_score_gemma":0.0002653905,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2369373,"about_ca_topic_score_gemma":0.3049602,"domain_scores_codex":[0.9993754,0.00006852487,0.00018204,0.0001605408,0.00003831297,0.0001751914],"domain_scores_gemma":[0.9996843,0.00006689314,0.00007453722,0.0000838021,0.00006090768,0.00002953328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001099577,0.0002132431,0.1799772,0.00001582376,0.0000957755,0.00002822389,0.0001392892,0.000001337705,0.8185192,0.0001773479,0.0007887819,0.00003281512],"study_design_scores_gemma":[0.0009888413,0.0001847974,0.7095111,0.0001260322,0.00009639189,0.000004265365,0.00005343732,0.00002413173,0.2867133,0.00003276061,0.002024838,0.0002400975],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980739,0.0003583767,0.00005820718,0.0008393227,0.00005743823,0.0001362372,0.00004733137,0.00003058779,0.0003985615],"genre_scores_gemma":[0.9984673,0.00005591533,0.00001588287,0.0008803906,0.00002059648,0.00001506784,0.000296513,0.000008477491,0.0002398885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5318059,"threshold_uncertainty_score":0.768144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01819761182428481,"score_gpt":0.2060319655960323,"score_spread":0.1878343537717475,"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."}}