{"id":"W4321453462","doi":"10.1177/00027642231155363","title":"A Cross-National Study of Fear Appeal Messages in YouTube Trending Videos About COVID-19","year":2023,"lang":"en","type":"article","venue":"American Behavioral Scientist","topic":"Media Influence and Health","field":"Arts and Humanities","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Social media; Pandemic; Appeal; Fear appeal; Coding (social sciences); Political science; Psychology; Advertising; Public relations; Business; Social psychology; Sociology; Medicine; Infectious disease (medical specialty); Social science; Disease","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007338595,0.0001374554,0.0002948183,0.0004976777,0.0004684316,0.0001968808,0.0002846694,0.00001909452,0.001103528],"category_scores_gemma":[0.00007140164,0.0001208132,0.00005965648,0.0005710719,0.00112719,0.0002785095,0.00008823339,0.0001376008,0.0001164818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001638991,"about_ca_system_score_gemma":0.0002833074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0334331,"about_ca_topic_score_gemma":0.0407985,"domain_scores_codex":[0.9979966,0.00008226926,0.000428374,0.0003565792,0.0007226682,0.0004135241],"domain_scores_gemma":[0.9992344,0.0000620086,0.0002181196,0.0001774423,0.00009866442,0.0002093683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003392006,0.0007776413,0.901669,0.00003375974,0.000008228471,0.00008241163,0.07846848,0.0001035024,0.00009346586,0.006501824,0.006240944,0.00598683],"study_design_scores_gemma":[0.001336337,0.0008026092,0.8782902,0.00003456723,0.00002788466,0.000002762503,0.06729063,0.00007805737,0.00001231142,0.0001398004,0.05167067,0.0003142239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961997,0.00001288625,0.000001158582,0.0003050345,0.0004464795,0.0003353547,0.0001702709,0.00009003602,0.002439034],"genre_scores_gemma":[0.9959024,0.000007340214,0.00001619442,0.0002987006,0.0001338258,0.00006626792,0.0000521175,0.00001318954,0.003509944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04542973,"threshold_uncertainty_score":0.9998096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.14825140272385,"score_gpt":0.4475724587748879,"score_spread":0.299321056051038,"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."}}