{"id":"W4365800176","doi":"10.2139/ssrn.4415010","title":"The Association between the Incidence of Lyme Disease in the United States and Indicators of Greenness and Land Cover","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Lyme disease; Incidence (geometry); Land cover; Cover (algebra); Geography; Association (psychology); Environmental health; Land use; Medicine; Virology; Ecology; Engineering; Biology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005458245,0.0001315836,0.0001827025,0.000927033,0.0001093907,0.0005132381,0.0001525549,0.0003686192,0.00280056],"category_scores_gemma":[0.003459644,0.0001538058,0.0003195894,0.001309828,0.0002216838,0.0003716564,0.0004895931,0.0005007564,0.0002394144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000229637,"about_ca_system_score_gemma":0.0002456148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01731901,"about_ca_topic_score_gemma":0.01944043,"domain_scores_codex":[0.9996924,0.0001152334,0.00003235846,0.0000644059,0.00003710956,0.00005849846],"domain_scores_gemma":[0.9965959,0.001254442,0.001314608,0.000165618,0.0002710672,0.0003983457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003672271,0.000007578527,0.9987772,0.000003498123,0.00004228673,0.00001089573,0.00001496471,0.0001213261,0.00004349938,0.00002779994,0.0001608206,0.0007533332],"study_design_scores_gemma":[0.000001583316,0.0000159495,0.9994104,0.000002738905,0.00001401801,0.0000248394,0.00007470787,0.0002795166,0.00001204289,0.00005067156,0.000111823,0.00000168584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953086,0.0005374985,0.0001471133,0.0003398455,0.00002054048,0.000001870132,0.002462638,0.00001053499,0.001171423],"genre_scores_gemma":[0.9986534,0.0001702575,0.00004597773,0.0000292513,0.00001840089,0.000001144794,0.0008806388,0.000001998727,0.0001988511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01731901,"threshold_uncertainty_score":0.0344364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01226801838182694,"score_gpt":0.2897070642446388,"score_spread":0.2774390458628118,"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."}}