{"id":"W4387063459","doi":"10.1016/j.prevetmed.2023.106029","title":"A new methodology to extrapolate disease freedom to an area using surveillance results from selected aquatic populations","year":2023,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Population; Context (archaeology); Environmental health; Statistics; Geography; Medicine; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008633053,0.0001970525,0.0003691354,0.00007732506,0.0001676522,0.00001294962,0.0002852377,0.00005282461,0.0004620303],"category_scores_gemma":[0.002103398,0.00009221328,0.00006157068,0.001306491,0.0000434621,0.0001002779,0.0002033505,0.00007745191,0.0001015673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003064544,"about_ca_system_score_gemma":0.00001309425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006128975,"about_ca_topic_score_gemma":0.001348221,"domain_scores_codex":[0.9974302,0.000993649,0.0004063972,0.0005990397,0.000167187,0.0004035224],"domain_scores_gemma":[0.9982396,0.000844306,0.0001073839,0.00013679,0.0000520234,0.0006198656],"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":[0.006986306,0.0001931058,0.121417,0.00002509205,0.0001830256,0.0003221947,0.001658029,0.001587234,0.7698122,0.0003605994,0.03708793,0.06036726],"study_design_scores_gemma":[0.0003254205,0.001423551,0.9845522,0.00007533559,0.00005033,0.000001518891,0.0002055617,0.006862453,0.000005233269,0.003085602,0.003211257,0.00020151],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853519,0.00008943042,0.004702596,0.008568276,0.000311424,0.0005118739,0.0002117955,0.0001894001,0.00006334879],"genre_scores_gemma":[0.9910762,0.00001795052,0.005832367,0.0006081016,0.0006113314,0.00002592784,0.001243785,0.00000321402,0.0005811314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8631352,"threshold_uncertainty_score":0.9265217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3969115453249241,"score_gpt":0.4027817361985866,"score_spread":0.005870190873662473,"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."}}