{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001945678,0.0001029955,0.0001576483,0.0002652174,0.001615874,0.00002345452,0.000159092,0.00006866624,0.0001264451],"category_scores_gemma":[0.0004568604,0.0001024318,0.00001037229,0.0003843621,0.000588092,0.00005597998,0.0001163484,0.0003977191,0.00008387956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004039959,"about_ca_system_score_gemma":0.00104109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8562562,"about_ca_topic_score_gemma":0.9751554,"domain_scores_codex":[0.9976749,0.001434002,0.000171554,0.0002208847,0.00004093172,0.0004577393],"domain_scores_gemma":[0.9990296,0.0001599992,0.00003620638,0.0003783602,0.0002761272,0.0001197519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001413947,0.0001468549,0.9868479,0.00002191951,0.00001399822,0.000259902,0.008334006,1.195882e-7,0.0002949125,0.00007355079,0.0003592997,0.003633431],"study_design_scores_gemma":[0.0007491682,0.0008392524,0.9735311,0.00001540677,0.000005005279,0.0007694042,0.02163561,0.00000211627,0.0001356842,0.00004113658,0.002144801,0.0001312965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997371,0.0005084695,3.181447e-7,0.0004842692,0.0003649644,0.0005060719,0.00004843291,0.00004190944,0.0006745943],"genre_scores_gemma":[0.9992564,0.00001114014,0.000003598489,0.0006311578,0.00002194075,0.0000298655,0.000008985415,0.000008258201,0.00002864264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1188992,"threshold_uncertainty_score":0.9996839,"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."}}