{"id":"W6923522845","doi":"10.1371/journal.pone.0198509.g001","title":"Number and incidence rate of Lyme disease cases by classification, Ontario: 2005–14 (n = 1230)*.","year":2018,"lang":"en","type":"other","venue":"Figshare","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lyme disease; Incidence (geometry); Disease; Epidemiology; Prevalence","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":[0.0002619812,0.0003794884,0.0003488614,0.00219818,0.0007372519,0.0004502549,0.00105678,0.0003616033,0.01659916],"category_scores_gemma":[0.002108805,0.0003842313,0.0005305302,0.005084597,0.0004015262,0.0004975797,0.0005096649,0.0004600625,0.002115521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004806209,"about_ca_system_score_gemma":0.007614746,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9509438,"about_ca_topic_score_gemma":0.9747819,"domain_scores_codex":[0.9995202,0.00002477348,0.00007429785,0.00007943942,0.000150921,0.0001503518],"domain_scores_gemma":[0.9982247,0.0001181693,0.0007288399,0.00006007982,0.0005833199,0.0002849244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002740915,0.00008880383,0.6768112,0.000815721,0.0001665423,0.0001952279,0.000603764,0.0006663501,0.0003625167,0.0004005115,0.3055738,0.01404156],"study_design_scores_gemma":[0.00005733178,0.00002580253,0.9887236,0.0001836432,0.00005414369,0.0001159872,0.0005080412,0.0002615212,0.00004657353,0.00004757775,0.009961921,0.00001382608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2902576,0.003352462,0.0003711162,0.0012298,0.0001651925,0.0002395245,0.6658427,0.0003004332,0.03824113],"genre_scores_gemma":[0.7563125,0.004350192,0.0007128815,0.0007083123,0.00009211473,0.0003226779,0.2108011,0.0001063461,0.02659376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04905623,"threshold_uncertainty_score":0.09869021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03006062902551873,"score_gpt":0.2821117070875389,"score_spread":0.2520510780620201,"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."}}