{"id":"W6923409256","doi":"10.1371/journal.pone.0290463.s005","title":"Listing of data sets and sources.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lyme disease; Neighbourhood (mathematics); Residential area; Negative binomial distribution; Incidence (geometry)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005750988,0.001581879,0.002513148,0.01393468,0.001638961,0.003716934,0.003506098,0.00193925,0.3570027],"category_scores_gemma":[0.04859709,0.0009673758,0.001292277,0.02645629,0.0004808206,0.001856057,0.002395329,0.001923294,0.1604186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002969235,"about_ca_system_score_gemma":0.01477626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1022697,"about_ca_topic_score_gemma":0.1083774,"domain_scores_codex":[0.9948565,0.0008339463,0.00167561,0.001004367,0.001143157,0.00048636],"domain_scores_gemma":[0.9713284,0.01222318,0.001955792,0.003253626,0.009988659,0.001250321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001308244,0.00002854126,0.001463067,0.003034818,0.00006079588,0.00003443479,0.00008613547,0.0001892904,0.00006885621,0.0008707492,0.9860387,0.007993782],"study_design_scores_gemma":[0.0003431968,0.00002499458,0.006134634,0.002545379,0.0000889138,0.00005961033,0.0003557997,0.0002286164,0.0001508554,0.001751599,0.9882626,0.0000538627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006591637,0.00005380496,0.0001243493,0.00005599229,0.00004054055,0.0001271779,0.9983069,0.00008864706,0.001136675],"genre_scores_gemma":[0.001030607,0.0003056613,0.001586043,0.0001944091,0.00002505222,0.002394099,0.9917449,0.0002380677,0.002481204],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3570027,"threshold_uncertainty_score":0.9171576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2490426888686056,"score_gpt":0.4028858400728246,"score_spread":0.153843151204219,"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."}}