{"id":"W3034707512","doi":"10.2196/20493","title":"Use of Health Belief Model–Based Deep Learning Classifiers for COVID-19 Social Media Content to Examine Public Perceptions of Physical Distancing: Model Development and Case Study","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National University Health System; National University of Singapore","keywords":"Public health; Social media; Health belief model; Social distance; Psychological intervention; Context (archaeology); Psychology; Focus group; Medicine; Computer science; Health promotion; Nursing; Sociology; World Wide Web; Disease; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty); Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006096944,0.001582492,0.001218479,0.001694095,0.0007451231,0.00148309,0.001939681,0.001826206,0.00293983],"category_scores_gemma":[0.01303155,0.0006168672,0.001564023,0.0009796106,0.0006302657,0.001441729,0.001390018,0.003416583,0.0006678667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002862744,"about_ca_system_score_gemma":0.001649884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03951184,"about_ca_topic_score_gemma":0.02804995,"domain_scores_codex":[0.9987753,0.0006300076,0.00008514118,0.0002477822,0.0001051809,0.0001566111],"domain_scores_gemma":[0.9887323,0.009098791,0.0003878565,0.0002515205,0.001336215,0.0001931481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001036782,0.001866684,0.05511575,0.0002823929,0.00042495,0.0002373469,0.0005834956,0.7984935,0.0009589229,0.002745921,0.00391297,0.1343413],"study_design_scores_gemma":[0.00001028342,0.00005411261,0.000790039,0.00001350309,0.00001699212,0.00000453756,0.00004021492,0.9984054,0.0001015979,0.0004836631,0.00007465098,0.00000491578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7981425,0.001605327,0.1871058,0.002879344,0.0003512078,0.001315673,0.002393587,0.001134163,0.005072419],"genre_scores_gemma":[0.9514111,0.0002588846,0.0438621,0.0002406765,0.00005491613,0.00108486,0.001298966,0.00002442235,0.001764119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03951184,"threshold_uncertainty_score":0.07856369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3449693755472503,"score_gpt":0.4090187320450442,"score_spread":0.06404935649779392,"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."}}