{"id":"W2752081260","doi":"10.1093/ofid/ofx163.817","title":"Correlations Between Environmental Factors and Increasing Lyme Disease Incidence in Canada","year":2017,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Medicine; Incidence (geometry); Lyme disease; Demography; Ixodes scapularis; Logistic regression; Tick; Tick-borne disease; Epidemiology; Ixodes; Disease; Environmental health; Veterinary medicine; Immunology; Internal medicine; Ixodidae","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003229413,0.0002556762,0.0002663237,0.001816883,0.001394985,0.001275199,0.0007288845,0.0002465277,0.003021741],"category_scores_gemma":[0.001941226,0.0002112624,0.0004014628,0.003717999,0.0004867546,0.0002622221,0.0007000777,0.0006453951,0.0002062578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01520703,"about_ca_system_score_gemma":0.02289156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9876753,"about_ca_topic_score_gemma":0.9912168,"domain_scores_codex":[0.9994006,0.00003692982,0.00004244868,0.0001087628,0.0001959254,0.0002153028],"domain_scores_gemma":[0.9969721,0.0001719163,0.000571402,0.00005611108,0.00161775,0.0006106276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001771605,0.00001008065,0.9965268,0.00001957117,0.00002676419,0.00004619083,0.00007965874,0.0001079589,0.00005471478,0.00003855739,0.00067283,0.002399085],"study_design_scores_gemma":[0.000002255979,0.000009065683,0.9982697,0.00003240316,0.00001740897,0.00005393236,0.0004123295,0.0002926842,0.00003895792,0.00002279171,0.0008431949,0.00000528282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827613,0.002055662,0.0002344137,0.0008166536,0.00002883051,0.00004067017,0.009186066,0.00003672891,0.004839662],"genre_scores_gemma":[0.996008,0.0008552614,0.0001924684,0.00006998174,0.000008231998,0.000008655888,0.002008718,0.000005194006,0.0008435131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01520703,"threshold_uncertainty_score":0.1103353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070516423566165,"score_gpt":0.2396334181000308,"score_spread":0.2289282538643692,"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."}}