{"id":"W2968005429","doi":"10.1007/s10393-019-01433-3","title":"A Transdisciplinary Approach to Brucella in Muskoxen of the Western Canadian Arctic 1989–2016","year":2019,"lang":"en","type":"article","venue":"EcoHealth","topic":"Brucella: diagnosis, epidemiology, treatment","field":"Veterinary","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Nunavut; Canadian Bio-Systems (Canada); Provincial Laboratory of Public Health; Government of Northwest Territories; Yukon Department of Environment; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; ArcticNet; Canadian Wildlife Health Cooperative; Government of Nunavut; Polar Knowledge Canada; Canadian Food Inspection Agency","keywords":"Biovar; Bay; Geography; Brucella; Animal ecology; Arctic; Seroprevalence; Peninsula; Beluga; Brucellosis; Archipelago; Biology; Veterinary medicine; Ecology; Serology; Medicine; Archaeology; Immunology","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001023837,0.0002651751,0.0005766561,0.0002305961,0.00009200043,0.000009544656,0.0005533722,0.0002128108,0.0002090887],"category_scores_gemma":[0.00009009208,0.0001982634,0.0001519215,0.0003434051,0.00006853492,0.00005797664,0.0001114784,0.0003625216,0.001379512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009516298,"about_ca_system_score_gemma":0.0007130323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2830896,"about_ca_topic_score_gemma":0.1813796,"domain_scores_codex":[0.9971799,0.0005778164,0.000650793,0.000596125,0.0001765185,0.0008188961],"domain_scores_gemma":[0.9980385,0.0003511079,0.0001684688,0.0009698804,0.00005000972,0.0004220239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000256082,0.0006787867,0.9765607,0.0006706968,0.00007029187,0.00003441877,0.01053562,0.0006375788,0.0001706329,0.0003278051,0.009090438,0.0009669094],"study_design_scores_gemma":[0.0009515109,0.0007981951,0.9887963,0.0002562117,0.00001902859,0.00006283666,0.0003761707,0.000274223,0.00002726094,0.0002245707,0.007957846,0.0002558481],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671843,0.0002895766,0.00000452717,0.007970711,0.0006399553,0.001752291,0.00007725995,0.00002760376,0.02205375],"genre_scores_gemma":[0.994369,0.00005107897,0.0006721929,0.00310651,0.00008890521,0.0001646947,0.00001720819,0.00004806054,0.001482368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.10171,"threshold_uncertainty_score":0.9993981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06348733645486583,"score_gpt":0.3333717000880914,"score_spread":0.2698843636332255,"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."}}