{"id":"W3016455208","doi":"10.2196/19145","title":"The Role of YouTube and the Entertainment Industry in Saving Lives by Educating and Mobilizing the Public to Adopt Behaviors for Community Mitigation of COVID-19: Successive Sampling Design Study","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Entertainment; Environmental health; Sample (material); Pandemic; Business; Medicine; Public health; Coronavirus disease 2019 (COVID-19); Public relations; Political science; Geography; Nursing; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007992926,0.0000764462,0.0001815718,0.00003789761,0.001435242,0.0002292393,0.0002099844,0.00005400332,0.000002515394],"category_scores_gemma":[0.007083168,0.00004507225,0.00001483084,0.0003043194,0.0002816483,0.0002415363,0.00008061514,0.0002991915,3.226666e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006520552,"about_ca_system_score_gemma":0.0007492548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00297731,"about_ca_topic_score_gemma":0.003039484,"domain_scores_codex":[0.9972377,0.001767902,0.0004016718,0.0001020189,0.000218169,0.0002724786],"domain_scores_gemma":[0.9960212,0.003040566,0.0002992698,0.0001205835,0.0001035368,0.0004148405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000450382,0.00006707684,0.2712783,0.00007200073,0.000007424685,1.576448e-8,0.6972236,0.000009272415,0.00001301189,0.001003911,0.000147245,0.03013308],"study_design_scores_gemma":[0.0006459582,0.000177126,0.04942323,0.00001504313,7.904927e-7,3.629736e-7,0.9456829,0.0005435941,0.000002523757,0.00008522997,0.003363071,0.00006012301],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.944917,0.0006910299,0.0004194795,0.0520156,0.00002407219,0.001848955,0.00001532695,0.000008869557,0.00005968974],"genre_scores_gemma":[0.9969832,0.0001444342,0.0000559023,0.002697743,0.00001847379,0.00008801706,0.000004747268,0.000003820426,0.000003715504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2484593,"threshold_uncertainty_score":0.9998648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09364134196019443,"score_gpt":0.3971798210309613,"score_spread":0.3035384790707669,"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."}}