{"id":"W3048304111","doi":"10.2196/21419","title":"Public Perceptions and Attitudes Toward COVID-19 Nonpharmaceutical Interventions Across Six Countries: A Topic Modeling Analysis of Twitter Data","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Defence Science and Technology Group; Australian Government","keywords":"Psychological intervention; Pandemic; Public health; Social distance; Coronavirus disease 2019 (COVID-19); Social media; Geography; Medicine; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01422546,0.00007690093,0.0003913214,0.0003645971,0.0002571323,0.0002080692,0.001492142,0.0002094588,0.004613794],"category_scores_gemma":[0.06140818,0.0000664535,0.0001649773,0.001261405,0.001186026,0.000367835,0.0005843853,0.001175461,0.00001192325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00035574,"about_ca_system_score_gemma":0.002430259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005122252,"about_ca_topic_score_gemma":0.004016003,"domain_scores_codex":[0.9941056,0.001308342,0.0008683936,0.0002494064,0.003019037,0.0004492184],"domain_scores_gemma":[0.992687,0.003878224,0.000217,0.0002178516,0.001050957,0.001948981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002060392,0.0007129019,0.4462794,0.001301078,0.00168748,0.00007446157,0.5074016,0.00007719042,0.00001754775,0.004526468,0.023113,0.01460288],"study_design_scores_gemma":[0.003021421,0.00108317,0.05132937,0.001193744,0.00126916,0.0000357678,0.3158962,0.3485741,0.000008366815,0.0009319799,0.276152,0.0005047254],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6875076,0.0008037857,0.01663791,0.2941787,0.0005253035,0.0002488352,0.00002172224,0.00001024016,0.00006586105],"genre_scores_gemma":[0.9944413,0.002591317,0.0002682767,0.001506636,0.001128582,0.00001973941,0.00001327208,0.000006707352,0.00002421603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.39495,"threshold_uncertainty_score":0.9962961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8347275073155691,"score_gpt":0.6813948206784908,"score_spread":0.1533326866370783,"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."}}