{"id":"W2056012414","doi":"10.1111/1365-2664.12050","title":"Predicting the rate of invasion of the agent of Lyme disease <i>Borrelia burgdorferi</i>","year":2013,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Public Health Agency of Canada","funders":"Public Health Agency of Canada","keywords":"Borrelia burgdorferi; Ixodes scapularis; Tick; Nymph; Lyme disease; Biology; Zoology; Larva; Ecology; Range (aeronautics); Ixodidae; Virology; Immunology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006406371,0.0003677142,0.0002724121,0.0005179815,0.0002192519,0.0006334649,0.000319074,0.0003966009,0.001232681],"category_scores_gemma":[0.00212332,0.0002794173,0.0003545617,0.0002424949,0.0001376716,0.0004101594,0.000347698,0.0004969413,0.000303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006404701,"about_ca_system_score_gemma":0.0005324604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03750593,"about_ca_topic_score_gemma":0.02385284,"domain_scores_codex":[0.9998759,0.00001917233,0.000007729222,0.00005064775,0.00001687599,0.00002960267],"domain_scores_gemma":[0.9988387,0.0005806959,0.0002276217,0.000049542,0.0001314424,0.0001719067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000184859,0.0001157655,0.5890244,0.00002836003,0.00006833446,0.00007384961,0.00004531954,0.3985154,0.001693257,0.0002848335,0.0008933261,0.009072478],"study_design_scores_gemma":[0.000009793948,0.00006730355,0.05168596,0.000008540511,0.00001249847,0.00003899282,0.00004730002,0.9472822,0.0004242489,0.0001737205,0.000242686,0.000006751463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99753,0.00005783024,0.001632554,0.00004832091,0.000006151253,0.000007332404,0.0002474721,0.00004856605,0.0004216151],"genre_scores_gemma":[0.997499,0.00003363608,0.00164786,0.000009764397,0.000003917754,0.000007031945,0.0005759028,0.000003720539,0.0002191859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03750593,"threshold_uncertainty_score":0.07457525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007264956926215557,"score_gpt":0.2015176702927333,"score_spread":0.1942527133665177,"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."}}