{"id":"W3199555357","doi":"10.14745/ccdr.v47i09a03","title":"Representativeness of the FluWatchers Participatory Disease Surveillance Program 2015–2016 to 2018–2019: How do participants compare with the Canadian population?","year":2021,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Representativeness heuristic; Population; Demography; Census; Geography; Medicine; Vaccination; Disease surveillance; Public health surveillance; Environmental health; Epidemiology; Public health; Psychology; Immunology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02256683,0.0005519849,0.0009205964,0.002650787,0.00359266,0.002424634,0.003751892,0.00084206,0.002026956],"category_scores_gemma":[0.04055291,0.0003596334,0.001442398,0.004891996,0.00132405,0.001199492,0.002283928,0.0008427097,0.0002917017],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01963152,"about_ca_system_score_gemma":0.03269031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.964718,"about_ca_topic_score_gemma":0.9622543,"domain_scores_codex":[0.9807747,0.004154311,0.001120711,0.002802222,0.007818618,0.003329565],"domain_scores_gemma":[0.984933,0.001475377,0.00214755,0.0009946434,0.008909271,0.001540126],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003405312,0.00005420856,0.9591977,0.0004495285,0.0006615092,0.00007393148,0.005992564,0.0002683302,0.0002668618,0.0005603993,0.007741679,0.02439277],"study_design_scores_gemma":[0.00002457913,0.0001139093,0.9869165,0.0002008417,0.0001388372,0.00004045533,0.00439917,0.0005246544,0.0001954892,0.0001182872,0.007288702,0.00003843656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9221072,0.005198594,0.004334914,0.005500175,0.0003388771,0.00186854,0.04691066,0.0001285855,0.01361252],"genre_scores_gemma":[0.9886304,0.0006539955,0.001333131,0.0006666194,0.00003541635,0.0008727814,0.006940725,0.00002607262,0.0008408611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9803685,"threshold_uncertainty_score":0.1424373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04232481939736703,"score_gpt":0.327054713489827,"score_spread":0.28472989409246,"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."}}