{"id":"W3195413932","doi":"10.2196/28800","title":"Analyzing Social Media to Explore the Attitudes and Behaviors Following the Announcement of Successful COVID-19 Vaccine Trials: Infodemiology Study","year":2021,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates","keywords":"Social media; Microblogging; Pandemic; Government (linguistics); Public relations; Coronavirus disease 2019 (COVID-19); Political science; Psychology; Computer science; Medicine; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001263334,0.0003093454,0.0002817591,0.002413198,0.0009135511,0.001227856,0.0003363937,0.0006632942,0.002214331],"category_scores_gemma":[0.007679304,0.0001887577,0.0004816116,0.001904957,0.0003228536,0.001449383,0.0008730398,0.0008230528,0.0007995051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006503853,"about_ca_system_score_gemma":0.0005244611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004536442,"about_ca_topic_score_gemma":0.007360002,"domain_scores_codex":[0.9991055,0.0004050937,0.00008280726,0.0001236725,0.0001476193,0.000135302],"domain_scores_gemma":[0.9912524,0.003990267,0.002801085,0.0003415912,0.0009117028,0.0007029211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003089008,0.001131387,0.9354559,0.0002788345,0.0001408017,0.0004520064,0.02365112,0.0001626513,0.001401251,0.0003528474,0.002161255,0.03450313],"study_design_scores_gemma":[0.00001727579,0.0005062312,0.9508848,0.000104893,0.00009205538,0.0003227313,0.0393537,0.002700429,0.0007739374,0.0002367785,0.004967128,0.00004012308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974211,0.00006575007,0.0002287653,0.0001742899,0.0000142854,0.00008438259,0.0008530653,0.000007534254,0.001150713],"genre_scores_gemma":[0.9956526,0.0001924808,0.0009471917,0.0001867854,0.00006584464,0.0003186811,0.001304976,0.00001066617,0.001320746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004536442,"threshold_uncertainty_score":0.00902009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1749107903787442,"score_gpt":0.4629124515280651,"score_spread":0.2880016611493209,"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."}}