{"id":"W2096097169","doi":"10.1371/journal.pone.0140028","title":"The More the Better? A Comparison of the Information Sources Used by the Public during Two Infectious Disease Outbreaks","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Alberta","funders":"Canadian Institutes of Health Research; Alberta Heritage Foundation for Medical Research; Fondation pour la Recherche Médicale; University of Alberta; Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Outbreak; Credibility; Public health; Social media; Environmental health; Medicine; Pandemic; Disease; Infectious disease (medical specialty); Mass media; Information source (mathematics); Information Dissemination; The Internet; Family medicine; Business; Coronavirus disease 2019 (COVID-19); Advertising; Political science; Pathology","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":[0.004925155,0.0003705613,0.0005508974,0.004126266,0.0009027529,0.003081885,0.0006337892,0.0007939243,0.0008535698],"category_scores_gemma":[0.01913908,0.0002596219,0.0006915435,0.004313441,0.0009695044,0.001694855,0.001537018,0.0005371046,0.0001634965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003904184,"about_ca_system_score_gemma":0.002974112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1813176,"about_ca_topic_score_gemma":0.2150338,"domain_scores_codex":[0.9965216,0.00143839,0.0002740916,0.0001545929,0.001127766,0.0004837114],"domain_scores_gemma":[0.9845521,0.008376864,0.003151925,0.0003733167,0.002868696,0.0006771119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001792339,0.0002369075,0.8726121,0.0006973972,0.0003792431,0.0003779091,0.05515833,0.0001762361,0.0005004582,0.000219779,0.001087315,0.06676187],"study_design_scores_gemma":[0.0000261979,0.0002583718,0.9581298,0.0002010519,0.00015179,0.0001578902,0.03949255,0.0002670696,0.0001157544,0.00007325722,0.001099007,0.00002727543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963486,0.001244635,0.00006776657,0.0002608015,0.000007045497,0.00002899207,0.0003739288,0.000008079312,0.001660174],"genre_scores_gemma":[0.9980939,0.001111876,0.0001428031,0.00008611444,0.000007816317,0.00001526384,0.0003234453,0.000003440047,0.0002152924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1813176,"threshold_uncertainty_score":0.3605244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06449532144159698,"score_gpt":0.2984543852076228,"score_spread":0.2339590637660258,"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."}}