{"id":"W6902053056","doi":"10.6084/m9.figshare.19641787","title":"Additional file 1 of Behavioral risk factors associated with reported tick exposure in a Lyme disease high incidence region in Canada","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Université de Sherbrooke; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"","keywords":"Lyme disease; Incidence (geometry); Epidemiology; Risk factor; Tick; Disease; Tick-borne disease; Disease transmission","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005351286,0.000470703,0.0006630974,0.001840451,0.0013357,0.0009029107,0.0009368182,0.0006088995,0.6211906],"category_scores_gemma":[0.01082625,0.0003029405,0.0005491041,0.003561868,0.0002402811,0.0008831048,0.0005457097,0.0007211356,0.03813649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004550481,"about_ca_system_score_gemma":0.006834761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6700687,"about_ca_topic_score_gemma":0.7515604,"domain_scores_codex":[0.9996333,0.00003905316,0.00005297071,0.00006361695,0.0001075933,0.0001033335],"domain_scores_gemma":[0.9935086,0.002923968,0.0006033371,0.0002435228,0.002404226,0.0003164417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009461597,0.00009415977,0.01647609,0.0008214465,0.00002732189,0.00004568196,0.0001664786,0.0001924376,0.00003098484,0.0004246099,0.9754683,0.006157827],"study_design_scores_gemma":[0.001846911,0.0001885751,0.4593254,0.005012059,0.0001644528,0.0005242989,0.002912902,0.001879136,0.0003323038,0.002770887,0.5249046,0.0001384475],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001560631,0.00003945175,0.00006855218,0.0001695329,0.00001816255,0.0001315036,0.9948978,0.00003464831,0.003079744],"genre_scores_gemma":[0.06347294,0.0005880031,0.001698566,0.0009382212,0.0001072584,0.002078979,0.9021166,0.0001678081,0.02883154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6211906,"threshold_uncertainty_score":0.6637486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02377282913421549,"score_gpt":0.2142065433571554,"score_spread":0.1904337142229399,"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."}}