{"id":"W4210292220","doi":"10.2196/preprints.21419","title":"Public Perceptions and Attitudes Toward COVID-19 Nonpharmaceutical Interventions Across Six Countries: A Topic Modeling Analysis of Twitter Data (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Defence Science and Technology Group; Australian Government","keywords":"Psychological intervention; Coronavirus disease 2019 (COVID-19); Preprint; Social distance; Pandemic; Public health; Geography; Medicine; Psychology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003462267,0.0004382214,0.0004972668,0.001902124,0.0005828678,0.001641125,0.0003844729,0.0005652166,0.001803291],"category_scores_gemma":[0.009073793,0.0002944028,0.001561568,0.002394974,0.0003831588,0.0015943,0.001026622,0.0007448405,0.0004942507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008946817,"about_ca_system_score_gemma":0.0005859439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02821803,"about_ca_topic_score_gemma":0.01673981,"domain_scores_codex":[0.9988058,0.0006124909,0.0001035915,0.0002210851,0.0001015572,0.0001555571],"domain_scores_gemma":[0.9909424,0.006944027,0.0009542622,0.00031262,0.0006519217,0.0001947259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006578213,0.0002649689,0.9365283,0.000541726,0.0004897169,0.0002836608,0.01339825,0.01299502,0.001522886,0.001532831,0.006255912,0.02552904],"study_design_scores_gemma":[0.00005582708,0.0002661927,0.7530088,0.0002939139,0.0003279873,0.000189112,0.03393465,0.2014661,0.001108608,0.001505465,0.007736345,0.0001069848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913023,0.0001878258,0.002211325,0.0006817578,0.00002511496,0.00008802472,0.00463846,0.00004238111,0.0008228507],"genre_scores_gemma":[0.9893928,0.0002406615,0.003056229,0.00009737896,0.00003377636,0.0001872259,0.006443162,0.00002361124,0.0005252106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02821803,"threshold_uncertainty_score":0.05610758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5868366339476538,"score_gpt":0.5409044876199909,"score_spread":0.04593214632766296,"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."}}