{"id":"W6959991622","doi":"10.13140/rg.2.2.27611.85286","title":"Modelling Foot-and-Mouth Disease in Canada (CanDIS-FMD)","year":2022,"lang":"en","type":"article","venue":"","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Disease; Population; MEDLINE; Epidemiology; Identification (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009296325,0.0009778235,0.0008107191,0.0007575452,0.001336192,0.001622342,0.00183674,0.001798683,0.002871387],"category_scores_gemma":[0.001647967,0.0006358384,0.001088524,0.0009949025,0.0008833754,0.0004765459,0.0006735374,0.00107331,0.0002904697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0208122,"about_ca_system_score_gemma":0.01754914,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9863448,"about_ca_topic_score_gemma":0.9750071,"domain_scores_codex":[0.9994119,0.00008855074,0.000018407,0.00009947941,0.00007460063,0.0003071194],"domain_scores_gemma":[0.9989074,0.0003568015,0.0001030262,0.00002993343,0.0003858293,0.0002169878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002771221,0.0002113973,0.04609308,0.00008318817,0.0001269557,0.0002640605,0.0001001663,0.9455016,0.001105421,0.001354235,0.001676314,0.003206497],"study_design_scores_gemma":[0.0000892853,0.0001489293,0.02223618,0.00002539709,0.0000706757,0.0000420955,0.0004171432,0.974938,0.0003239229,0.0002513124,0.001418121,0.00003904002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894044,0.0004224097,0.00239058,0.0004017183,0.00005421571,0.00008109176,0.003190036,0.00008373255,0.003971671],"genre_scores_gemma":[0.9910318,0.0002716034,0.002192885,0.00006766355,0.000007553811,0.00003872151,0.001845802,0.00001581909,0.00452825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0208122,"threshold_uncertainty_score":0.1510038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03121381362539748,"score_gpt":0.194459003894547,"score_spread":0.1632451902691495,"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."}}