{"id":"W2791805110","doi":"10.3390/healthcare6010022","title":"Citizen Science and Community Engagement in Tick Surveillance—A Canadian Case Study","year":2018,"lang":"en","type":"article","venue":"Healthcare","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University","funders":"Fondation canadienne de la maladie de Lyme; Natural Sciences and Engineering Research Council of Canada","keywords":"Citizen science; Tick; Community engagement; Disease surveillance; General partnership; Lyme disease; Tick-borne disease; Public health; Limiting; Public relations; Geography; Environmental resource management; Business; Biology; Political science; Ecology; Medicine; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007868978,0.0004710192,0.0006022856,0.002461651,0.03361934,0.005274242,0.002594077,0.003138116,0.003667603],"category_scores_gemma":[0.01330188,0.0003749175,0.0007257952,0.005423699,0.006138075,0.002006809,0.007202726,0.004030691,0.0002794384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06515727,"about_ca_system_score_gemma":0.1080321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9662466,"about_ca_topic_score_gemma":0.9820812,"domain_scores_codex":[0.989419,0.004754344,0.0002568281,0.0006439312,0.00174786,0.003178112],"domain_scores_gemma":[0.9884437,0.002679533,0.0007059568,0.0004898111,0.003162384,0.00451866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000200162,0.0009933107,0.1670769,0.0006173844,0.00008977721,0.03250765,0.6424503,0.0004878094,0.001076523,0.02718419,0.03508234,0.09223369],"study_design_scores_gemma":[0.00005315753,0.0002139066,0.07697131,0.0009854028,0.00006680369,0.005970311,0.7573592,0.001234512,0.0002453357,0.003010523,0.1537495,0.0001400937],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8842872,0.003093378,0.00178227,0.04843892,0.000258595,0.0007870357,0.0006128569,0.00003937837,0.06070036],"genre_scores_gemma":[0.9822645,0.002928834,0.002606367,0.005488111,0.00005414479,0.0001713444,0.0001735602,0.00003101367,0.006282248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06515727,"threshold_uncertainty_score":0.4727513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05584958907026823,"score_gpt":0.3261836775581263,"score_spread":0.2703340884878581,"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."}}