{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003842886,0.0003854717,0.0002489171,0.001704796,0.001429006,0.001025465,0.0005504969,0.0003125392,0.002369751],"category_scores_gemma":[0.0006105461,0.0001617567,0.0003988242,0.003375546,0.0004845594,0.0003185703,0.0004247198,0.0004922875,0.0002463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01985011,"about_ca_system_score_gemma":0.01770486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935473,"about_ca_topic_score_gemma":0.9947115,"domain_scores_codex":[0.9995887,0.00002342032,0.00002478817,0.00007627048,0.0001341195,0.0001526422],"domain_scores_gemma":[0.9991077,0.00002994948,0.0001802384,0.00001844778,0.0004907558,0.0001729731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005711565,0.00002216172,0.9884384,0.00007704413,0.00005153193,0.0001114926,0.0002736674,0.0002022727,0.0004001194,0.00009465047,0.002189042,0.008082333],"study_design_scores_gemma":[0.000002409567,0.00001888435,0.9965646,0.00004623348,0.00001569155,0.00009843653,0.0004985338,0.0002356917,0.00007792014,0.00001033943,0.002425171,0.00000618344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616384,0.005556761,0.0004057391,0.000712344,0.00003537055,0.00009192859,0.0266482,0.00005547566,0.004855707],"genre_scores_gemma":[0.9896074,0.001897661,0.0003698691,0.0001518338,0.00001451813,0.00002528421,0.005791199,0.000008853207,0.002133354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01985011,"threshold_uncertainty_score":0.1440232,"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."}}