{"id":"W3200588500","doi":"10.3390/ijerph18189669","title":"Modelling Spatiotemporal Patterns of Lyme Disease Emergence in Québec","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Institut National de Santé Publique du Québec","keywords":"Lyme disease; Ixodes scapularis; Disease; Transmission (telecommunications); Borrelia burgdorferi; Geography; Public health; LYME; Environmental health; Cartography; Medicine; Virology; Immunology; Computer science; Pathology; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003506852,0.000455827,0.0002535545,0.0006933014,0.0005646863,0.001111068,0.0009120109,0.0005861729,0.002725742],"category_scores_gemma":[0.001257129,0.0002531453,0.0004965495,0.0007835336,0.0003256146,0.0003078126,0.0003306495,0.0003803904,0.0002133651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009601468,"about_ca_system_score_gemma":0.004285499,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9671846,"about_ca_topic_score_gemma":0.961361,"domain_scores_codex":[0.9998804,0.00003146509,0.000005608185,0.00003200363,0.00001179236,0.00003868663],"domain_scores_gemma":[0.9994054,0.0002572455,0.00007897038,0.0000255543,0.0001762853,0.00005646914],"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":[0.0001310065,0.00005782904,0.09269039,0.00004588211,0.0001115376,0.0001771645,0.0001494725,0.8948116,0.001238309,0.001116984,0.002023465,0.007446348],"study_design_scores_gemma":[0.00001474683,0.00002038121,0.02568647,0.00001114574,0.00001656605,0.00001330647,0.0001294214,0.9729587,0.00009095639,0.0001320193,0.0009163735,0.000009809724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977713,0.0003925682,0.01047976,0.0003749687,0.00002837935,0.00008919683,0.006754372,0.0001868565,0.003980875],"genre_scores_gemma":[0.9885517,0.0001837592,0.005463524,0.00003472003,0.000004233914,0.00004713982,0.002822133,0.0000179505,0.002874875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0328154,"threshold_uncertainty_score":0.06966388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05841343767892188,"score_gpt":0.3443118590530594,"score_spread":0.2858984213741375,"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."}}