{"id":"W2805595518","doi":"10.1111/tbed.12878","title":"DISCONTOOLS supplement: Current research gaps for advancing control of infectious diseases in production animals","year":2018,"lang":"en","type":"article","venue":"Transboundary and Emerging Diseases","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"H2020 European Research Council; European Commission","keywords":"Animal health; Infectious disease (medical specialty); Public health; Disease control; Disease; Business; Knowledge management; Biotechnology; Medicine; Biology; Computer science; Veterinary medicine","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":[0.0005419519,0.0001535453,0.0002988105,0.00006460241,0.0004556845,0.00004238509,0.0001297582,0.00003239071,0.0002007134],"category_scores_gemma":[0.0002884199,0.00007718076,0.0001117204,0.0003139149,0.0004164276,0.0002368147,0.00003451649,0.00008130835,0.000002816015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002520617,"about_ca_system_score_gemma":0.00002133937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001837482,"about_ca_topic_score_gemma":0.0009749859,"domain_scores_codex":[0.9983154,0.0002315649,0.000349704,0.0004268874,0.0001803091,0.0004961141],"domain_scores_gemma":[0.9992186,0.0003735253,0.00007221349,0.00006342243,0.0001221395,0.0001500862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002144176,0.0006993936,0.8573871,0.0005749628,0.00007208958,0.000002921367,0.0003506193,0.00003264085,0.01511622,0.006247314,0.002982268,0.1143904],"study_design_scores_gemma":[0.001056787,0.001264632,0.9428256,0.0002005076,0.0001429719,7.297513e-7,0.0006886601,0.0004259114,0.0001527784,0.01600252,0.03695557,0.0002833736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900645,0.006224668,0.0001507476,0.001918324,0.0002074165,0.0008175392,0.0004967201,0.00005020772,0.00006986468],"genre_scores_gemma":[0.9983585,0.0006851248,0.00001371493,0.00005486158,0.000563145,0.0001660123,0.0001363407,0.000002337762,0.00001997414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.114107,"threshold_uncertainty_score":0.3504803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04180809392427127,"score_gpt":0.3406022365925158,"score_spread":0.2987941426682446,"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."}}