{"id":"W2728898287","doi":"10.1093/jme/tjx036","title":"A Risk Model for the Lyme Disease Vector Ixodes scapularis (Acari: Ixodidae) in the Prairie Provinces of Canada","year":2017,"lang":"en","type":"article","venue":"Journal of Medical Entomology","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Environment and Climate Change Canada; University of Manitoba; Public Health Agency of Canada; Université de Montréal","funders":"Natural Resources Canada; Public Health Agency","keywords":"Ixodes scapularis; Lyme disease; Biology; Ixodidae; Parasitiformes; Veterinary medicine; Acari; Ecology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001927405,0.0001559546,0.0004197397,0.00007538095,0.000381696,0.00002544679,0.001525115,0.0002292285,0.0001424164],"category_scores_gemma":[0.009119502,0.00008034921,0.0002109282,0.00004949332,0.0008660532,0.00008232328,0.0001316244,0.0006592654,0.000001831052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009642584,"about_ca_system_score_gemma":0.003382507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0806094,"about_ca_topic_score_gemma":0.2634943,"domain_scores_codex":[0.9980658,0.0004998591,0.0006113681,0.000162934,0.0002886485,0.0003714432],"domain_scores_gemma":[0.9966859,0.001583756,0.0009932833,0.0004617511,0.0001702346,0.0001051278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006527831,0.002936359,0.7973053,0.0003696912,0.003889209,0.001172116,0.004118833,0.002655461,0.001728816,0.02614858,0.1268169,0.02633084],"study_design_scores_gemma":[0.008018528,0.001043817,0.9539492,0.0002454101,0.001212899,0.0009924432,0.0008244502,0.01041453,0.0007722071,0.009973993,0.01217517,0.0003773679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577758,0.00677617,0.001737305,0.03162074,0.001461947,0.00042293,0.0001205489,0.000006618689,0.00007792545],"genre_scores_gemma":[0.9988084,0.0002240557,0.00001829128,0.0006275908,0.0001451698,0.00003451593,0.000004133879,0.00001081676,0.0001269807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1828849,"threshold_uncertainty_score":0.9992271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507481820665411,"score_gpt":0.2792634414362593,"score_spread":0.2641886232296052,"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."}}