{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008101508,0.0001675145,0.0005732151,0.0003359339,0.0003023458,0.0001566351,0.0004667273,0.0001090675,0.00004888381],"category_scores_gemma":[0.0021158,0.0001382883,0.0001599139,0.0004980497,0.00001464609,0.001317445,0.00005639094,0.0003229796,0.00001109587],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005744923,"about_ca_system_score_gemma":0.00619363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000105771,"about_ca_topic_score_gemma":0.002970768,"domain_scores_codex":[0.9961275,0.0001328498,0.002087599,0.00007016017,0.000853245,0.0007286131],"domain_scores_gemma":[0.9951183,0.0002215026,0.001833357,0.0001989352,0.001586477,0.001041441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002350622,0.002708734,0.0491952,0.001236755,0.0003710225,0.00002287222,0.0769112,0.0004194674,0.000004749518,0.009474616,0.5533676,0.3060527],"study_design_scores_gemma":[0.00311843,0.0007623533,0.003216541,0.000107148,0.0000128872,0.00004887054,0.01720254,0.006311092,8.773742e-7,0.0006331791,0.9684021,0.0001839936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.791499,0.001905616,0.03017704,0.1713696,0.002129156,0.001051712,0.0003097633,0.00009153412,0.001466643],"genre_scores_gemma":[0.8193287,0.00776839,0.1471858,0.0164795,0.006857106,0.0000114816,0.0003709239,0.00007554553,0.001922488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4150345,"threshold_uncertainty_score":0.9994403,"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."}}