{"id":"W2977493029","doi":"10.1289/isesisee.2018.p02.0120","title":"From Prey to Hunter: Training Park Workers to Carry Out Tick Collection as an Alternative Approach for Lyme Disease Vector Surveillance","year":2018,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Cegep de Saint Hyacinthe; Institut National de Santé Publique du Québec","funders":"","keywords":"Trainer; Lyme disease; Phone; Context (archaeology); Training (meteorology); Tick; Public health; Environmental health; Medicine; Geography; Computer science; Veterinary medicine; Nursing; Virology","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":[],"consensus_categories":[],"category_scores_codex":[0.004716616,0.0005796794,0.0002549505,0.000402757,0.004365704,0.001483119,0.001838944,0.001314804,0.006448674],"category_scores_gemma":[0.003233848,0.0003477623,0.0003481249,0.0002458017,0.00186091,0.0008350139,0.003237123,0.001398401,0.000933811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003817155,"about_ca_system_score_gemma":0.01488995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0492603,"about_ca_topic_score_gemma":0.2216847,"domain_scores_codex":[0.9976307,0.001176126,0.00004114892,0.0001547892,0.0002197888,0.0007774487],"domain_scores_gemma":[0.9969914,0.0004725061,0.0002805996,0.0001073022,0.0003253699,0.001822783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001027657,0.02222399,0.1325906,0.003326363,0.00005769813,0.003505385,0.1927242,0.001418256,0.01675168,0.001416262,0.04502066,0.5799372],"study_design_scores_gemma":[0.0007855102,0.02495398,0.3885046,0.003913637,0.0001489034,0.002045311,0.3358225,0.003210777,0.007965825,0.002359658,0.2300199,0.0002694549],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646729,0.0006692816,0.005660353,0.009494515,0.0002322558,0.003189213,0.0001452422,0.0001728011,0.01576342],"genre_scores_gemma":[0.9357186,0.001196152,0.04162855,0.003236692,0.0001199544,0.002613168,0.0001952296,0.00002239744,0.01526934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0492603,"threshold_uncertainty_score":0.09794712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04442556693289592,"score_gpt":0.2992569244954221,"score_spread":0.2548313575625262,"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."}}