{"id":"W2155422821","doi":"10.5210/ojphi.v7i1.5823","title":"A Semantic Web Platform for Online Vaccine Sentiment Surveillance","year":2015,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Public Health Agency","keywords":"Computer science; Sentiment analysis; Social media; Ontology; World Wide Web; Information retrieval; Semantic Web; Natural language processing; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002117716,0.0009690223,0.0006733763,0.004995245,0.001188512,0.00259328,0.001051725,0.001211528,0.006549343],"category_scores_gemma":[0.003936456,0.0004953857,0.001283459,0.002970254,0.0004793731,0.005498182,0.002699435,0.001195854,0.004396691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009811046,"about_ca_system_score_gemma":0.001792269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00508635,"about_ca_topic_score_gemma":0.008183702,"domain_scores_codex":[0.9989189,0.0002059186,0.0002057739,0.0002033531,0.00039324,0.00007293081],"domain_scores_gemma":[0.9981819,0.0006474708,0.0002313867,0.0003391888,0.0003869978,0.000213048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001673564,0.001856043,0.01842212,0.003625708,0.0007244928,0.00380042,0.003164047,0.01245324,0.06169223,0.189952,0.2482269,0.4544094],"study_design_scores_gemma":[0.0002011989,0.0001830876,0.01207964,0.0006044204,0.0002488316,0.0008831792,0.001401713,0.1141307,0.02083449,0.1231276,0.7260991,0.0002060615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04645511,0.001505296,0.6364923,0.004723733,0.0009187321,0.003357943,0.1064093,0.1342319,0.06590562],"genre_scores_gemma":[0.1948347,0.00230949,0.5493569,0.00269227,0.0003465444,0.00245692,0.2151057,0.005427113,0.02747029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006549343,"threshold_uncertainty_score":0.02190971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1260789111732435,"score_gpt":0.3915856888717301,"score_spread":0.2655067776984865,"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."}}