{"id":"W6923183060","doi":"10.1371/journal.pone.0212637.t002","title":"Negative binomial generalized estimating equation models testing for the influence of the number of <i>I</i>. <i>scapularis</i> tick submissions on the occurrence of human Lyme disease cases; adult and nymphal <i>I</i>. <i>scapularis</i> submissions (Model 1) and nymphal <i>I</i>. <i>scapularis</i> submissions (Model 2) detected by the passive tick surveillance program in Ontario and Manitoba.","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Education Methods and Technologies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lyme disease; Tick; Negative binomial distribution; Borrelia burgdorferi; Tick-borne disease; Generalized estimating equation; Binomial distribution; Binomial (polynomial)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02987287,0.00241355,0.003164286,0.001803274,0.001272519,0.002760371,0.006368756,0.00274709,0.01472746],"category_scores_gemma":[0.06535663,0.001727679,0.005195545,0.002621938,0.002000433,0.002118988,0.002784711,0.004932868,0.002663669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003401511,"about_ca_system_score_gemma":0.008522315,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2078331,"about_ca_topic_score_gemma":0.1313076,"domain_scores_codex":[0.9673476,0.02265266,0.001553772,0.004870399,0.001590008,0.001985594],"domain_scores_gemma":[0.9097997,0.06823734,0.01234409,0.003505959,0.004969924,0.001142936],"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":[0.002378626,0.0009266306,0.7084187,0.001670314,0.00824382,0.002660881,0.003959497,0.110043,0.001546487,0.04222522,0.03628195,0.08164492],"study_design_scores_gemma":[0.001423316,0.003344384,0.3106906,0.001176485,0.006964704,0.001084039,0.00457589,0.5840648,0.001206271,0.02612087,0.05888779,0.0004608211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.7451672,0.006635112,0.1848612,0.006781958,0.001162559,0.003113724,0.03918741,0.001572842,0.011518],"genre_scores_gemma":[0.9035525,0.002065732,0.0473704,0.001020233,0.0003036537,0.003541785,0.02010237,0.0002048115,0.02183851],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.7921669,"threshold_uncertainty_score":0.4132468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07465273416017229,"score_gpt":0.3304200772145407,"score_spread":0.2557673430543684,"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."}}