{"id":"W1999931407","doi":"10.12927/hcq.2010.21923","title":"Assessing and Responding in Real Time to Online Anti-vaccine Sentiment during a Flu Pandemic","year":2010,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Vancouver Coastal Health; University of Toronto","funders":"Ontario Ministry of Health and Long-Term Care","keywords":"Misinformation; Pandemic; Medicine; Popularity; Influenza vaccine; Vaccine safety; Public health; Leverage (statistics); Vaccination; Social media; The Internet; Advertising; Family medicine; Immunization; Psychology; Coronavirus disease 2019 (COVID-19); Business; Nursing; Immunology; World Wide Web; Social psychology; Political science; Infectious disease (medical specialty); Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0007791204,0.0001368402,0.0002650945,0.0003329923,0.0004327275,0.0001795596,0.0001378653,0.0001440174,0.0002067542],"category_scores_gemma":[0.00006177137,0.0001441572,0.00003415037,0.0004571283,0.0000087934,0.0003831003,0.00002321208,0.0003536526,0.00008498054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001385847,"about_ca_system_score_gemma":0.0002094616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004584681,"about_ca_topic_score_gemma":0.0257321,"domain_scores_codex":[0.9982748,0.0002165433,0.000359346,0.0003672536,0.0002507575,0.0005313039],"domain_scores_gemma":[0.9992375,0.0001025303,0.00008404481,0.0002034705,0.00007428402,0.0002981648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001345789,0.0001665134,0.7216175,0.0001520871,0.00001377557,0.0001903054,0.05354778,0.000001232954,0.09645786,0.001168622,0.0004518022,0.1260979],"study_design_scores_gemma":[0.0006157076,0.0001767828,0.9898612,0.0001652268,0.000005829022,0.00001343412,0.00478965,0.00002683166,0.00005515844,0.0001740243,0.003901076,0.0002151044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984111,0.00009591452,0.000005549955,0.01459626,0.0001970958,0.0003346339,0.000006278678,0.0001105499,0.0005427498],"genre_scores_gemma":[0.9975467,0.00006675149,0.0005804771,0.0002882261,0.0005040225,0.00001039537,0.000007356515,0.00001827122,0.0009777868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2682436,"threshold_uncertainty_score":0.9920458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0257408341916725,"score_gpt":0.3676124918783566,"score_spread":0.3418716576866841,"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."}}