{"id":"W2916828190","doi":"10.1089/vbz.2018.2390","title":"Human Seroprevalence to 11 Zoonotic Pathogens in the U.S. Arctic, Alaska","year":2019,"lang":"en","type":"article","venue":"Vector-Borne and Zoonotic Diseases","topic":"Viral gastroenteritis research and epidemiology","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"National Institutes of Health; Centers for Disease Control and Prevention; University of Bern","keywords":"Seroprevalence; Biology; Cryptosporidium; Coxiella burnetii; Population; Leptospira; Zoonosis; Virology; Veterinary medicine; Serology; Serotype; Microbiology; Feces; Antibody; Immunology; Medicine; Environmental health","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":[0.0002617135,0.0001599192,0.000115562,0.0005116911,0.0006438961,0.0003832364,0.0001078849,0.0001709006,0.001577343],"category_scores_gemma":[0.0004220715,0.0001377363,0.0001171795,0.0004666517,0.0002176004,0.0002101302,0.0002470317,0.0001393389,0.000167729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002463892,"about_ca_system_score_gemma":0.0002776522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06048537,"about_ca_topic_score_gemma":0.05171696,"domain_scores_codex":[0.9998814,0.00002985844,0.00001487756,0.00002796895,0.00002554493,0.00002033207],"domain_scores_gemma":[0.9997932,0.00003590163,0.00006798426,0.00001042762,0.00003812437,0.00005439011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001955295,0.00001027418,0.9978355,0.00000890611,0.00001021007,0.00004918855,0.0003019821,0.00004721069,0.0001702759,0.00001012059,0.0001030178,0.001433724],"study_design_scores_gemma":[0.000001244388,0.0000422336,0.9981134,0.00002284493,0.00001038152,0.0002183684,0.001136434,0.0000948032,0.00006405805,0.0000234767,0.00027071,0.000002114636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989428,0.0002016269,0.00003008502,0.00001966033,0.000003836476,0.000002087564,0.0001875729,0.000002307978,0.0006100206],"genre_scores_gemma":[0.9994901,0.0002126857,0.00004021179,0.000009861168,0.000002948107,0.000002214589,0.0001112441,4.505483e-7,0.0001302594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06048537,"threshold_uncertainty_score":0.1202666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020623772947685,"score_gpt":0.2946599822954713,"score_spread":0.2744537445659945,"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."}}