{"id":"W3187196373","doi":"10.2196/33922","title":"Correction: Precision Public Health Campaign: Delivering Persuasive Messages to Relevant Segments Through Targeted Advertisements on Social Media","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Advertising; Persuasive technology; Psychology; Public health; Internet privacy; Public relations; Political science; Computer science; Persuasion; World Wide Web; Business; Social psychology; Medicine","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":[0.01231592,0.004535811,0.003370868,0.005469073,0.004890596,0.007622977,0.007386808,0.01918574,0.05553867],"category_scores_gemma":[0.1621798,0.002142505,0.00357116,0.00378823,0.005577865,0.003476238,0.003291058,0.02213232,0.02851768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00768348,"about_ca_system_score_gemma":0.01372803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04008348,"about_ca_topic_score_gemma":0.04207103,"domain_scores_codex":[0.9814587,0.003721749,0.003222254,0.002152822,0.007935506,0.001509031],"domain_scores_gemma":[0.9017527,0.03466029,0.00536657,0.004357921,0.05092524,0.002937197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006390708,0.00001043014,0.00006974174,0.0003435401,0.00003534997,0.0002313719,0.0001003447,0.00005593842,0.00005636516,0.0007851808,0.9937357,0.0045121],"study_design_scores_gemma":[0.0001596034,0.00004947466,0.0009405221,0.001374118,0.0001329941,0.000627797,0.0002864364,0.0006861718,0.0005264248,0.002087352,0.9930182,0.000110971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001102345,0.000794344,0.0007731332,0.06675105,0.9282826,0.00004581792,0.001346678,0.0005375731,0.001358713],"genre_scores_gemma":[0.01649941,0.0119443,0.008750525,0.2297136,0.5839028,0.0007653455,0.002743355,0.002071214,0.1436095],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05553867,"threshold_uncertainty_score":0.1857954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3099589652387038,"score_gpt":0.5252353188038046,"score_spread":0.2152763535651008,"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."}}