{"id":"W2614910875","doi":"10.1016/j.idm.2017.05.002","title":"Modeling Lyme disease transmission","year":2017,"lang":"en","type":"review","venue":"Infectious Disease Modelling","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Hong Kong Polytechnic University","keywords":"Lyme disease; Tick; Transmission (telecommunications); Disease; Disease transmission; Tick-borne disease; Diversity (politics); Biology; Ecology; Geography; Computer science; Medicine; Immunology; Virology; Telecommunications; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0003657293,0.001605432,0.002774108,0.0007644416,0.001756906,0.0003327013,0.001080084,0.0009104318,0.0006257301],"category_scores_gemma":[0.0002042836,0.00146596,0.002758339,0.0002528082,0.0003077145,0.000468382,0.0002662456,0.001345116,0.002273784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004750981,"about_ca_system_score_gemma":0.002020367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003033822,"about_ca_topic_score_gemma":0.000009663954,"domain_scores_codex":[0.9945223,0.0006954593,0.001405607,0.001850943,0.0002103088,0.001315383],"domain_scores_gemma":[0.9957861,0.0002384479,0.0006958462,0.002275095,0.0002301198,0.0007743827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001934803,0.001002436,0.00005777857,0.01594052,0.001742388,0.0003227225,0.00005971175,0.1616557,0.000001818429,0.0005168695,0.0003724259,0.8181341],"study_design_scores_gemma":[0.0008774344,0.00005578903,0.000001953912,0.01414287,0.008056557,0.00007145989,0.000002927509,0.04777315,6.229521e-7,0.00136421,0.9258534,0.001799676],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001029239,0.920956,0.07296564,0.00001720087,0.001802272,0.001716735,0.0005456047,0.001101765,0.0007918717],"genre_scores_gemma":[0.01437783,0.9811984,0.00002647543,0.00005955029,0.0004353047,0.0007043121,0.001656465,0.0003816794,0.001159928],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9254809,"threshold_uncertainty_score":0.9996693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07482909961302267,"score_gpt":0.3222547212299469,"score_spread":0.2474256216169242,"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."}}