{"id":"W2539223413","doi":"10.5751/es-08873-210412","title":"Avian Cholera emergence in Arctic-nesting northern Common Eiders: using community-based, participatory surveillance to delineate disease outbreak patterns and predict transmission risk","year":2016,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Yersinia bacterium, plague, ectoparasites research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Makivik Corporation; Environment and Climate Change Canada; Carleton University; Simon Fraser University","funders":"","keywords":"Outbreak; Geography; Transmission (telecommunications); Arctic; Fishery; Disease surveillance; Ecology; Nesting (process); Disease; Biology; Virology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002807833,0.0004194163,0.0002851809,0.001053349,0.0005006014,0.0006038881,0.0004241713,0.0004197595,0.0003587813],"category_scores_gemma":[0.003301145,0.0003019014,0.0002994341,0.0004246146,0.0003488471,0.0005056905,0.0009604874,0.000307153,0.0001173782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006142348,"about_ca_system_score_gemma":0.0007209263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02259258,"about_ca_topic_score_gemma":0.0744713,"domain_scores_codex":[0.9990819,0.0004690756,0.00005270839,0.0001588723,0.0001171912,0.0001202131],"domain_scores_gemma":[0.9982423,0.0004080333,0.0006685631,0.00008955944,0.0003053566,0.0002862676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001886483,0.0001953889,0.9770626,0.0000440486,0.00006195217,0.00008086555,0.002882399,0.00036331,0.001709177,0.00003107534,0.0001824998,0.01719797],"study_design_scores_gemma":[0.00002106293,0.0007679833,0.9884721,0.0000740135,0.00004047545,0.0001119692,0.005200059,0.004058167,0.0006303786,0.000137582,0.0004693354,0.00001693813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985605,0.00009968637,0.0005120166,0.00003422431,0.000003415048,0.00008509171,0.0001111452,0.000006586219,0.0005872862],"genre_scores_gemma":[0.9968596,0.0001367158,0.002437027,0.00002201762,0.000005022885,0.0001080593,0.0002269795,0.000001324821,0.0002033769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02259258,"threshold_uncertainty_score":0.04492211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03025426194737912,"score_gpt":0.3051438531996873,"score_spread":0.2748895912523082,"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."}}