{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006831105,0.0003336976,0.000648567,0.00005134175,0.0006058752,0.0001088662,0.0007597412,0.00003964163,0.0001236562],"category_scores_gemma":[0.00159111,0.0002165762,0.0001502562,0.0009277747,0.0004055698,0.0001298138,0.0003837495,0.0003080555,0.000004393458],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008173533,"about_ca_system_score_gemma":0.02109473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8324216,"about_ca_topic_score_gemma":0.9905671,"domain_scores_codex":[0.9959737,0.0008334257,0.0005612545,0.0005983845,0.00119683,0.0008363858],"domain_scores_gemma":[0.9903789,0.0002259441,0.0003898564,0.005207798,0.001100525,0.002697031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003118574,0.0002003837,0.8935487,0.0001395022,0.0002554114,0.002419099,0.00007722902,0.0009528392,0.00001288939,0.00003014824,0.1016561,0.0003957869],"study_design_scores_gemma":[0.0005309645,0.00001821887,0.8876356,0.0002947159,0.0002459622,0.00003191653,0.0004620981,0.0002062953,0.00003763749,0.0000129954,0.1102574,0.0002661679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527866,0.003508565,0.000005841945,0.03806905,0.0003047912,0.002154679,0.002374995,0.00008740916,0.0007080505],"genre_scores_gemma":[0.9949659,0.00003054548,0.00008469204,0.001304466,0.00004932695,0.0004389332,0.001448216,0.00005822097,0.001619661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1581455,"threshold_uncertainty_score":0.9844548,"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."}}