{"id":"W3216481866","doi":"10.2196/29011","title":"Difficulty Regulating Social Media Content of Age-Restricted Products: Comparing JUUL’s Official Twitter Timeline and Social Media Content About JUUL","year":2021,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Timeline; Advertising; Sociology; Media studies; Internet privacy; Computer science; World Wide Web; Business; History","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":[],"consensus_categories":[],"category_scores_codex":[0.0003645016,0.0002654985,0.001027895,0.00012174,0.0001633452,0.00001756077,0.0001031629,0.0004320249,0.00006510547],"category_scores_gemma":[0.001790154,0.0002343221,0.0001395228,0.0002418846,0.0004120622,0.00006524973,0.0001638154,0.0005391986,0.000002401186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001230965,"about_ca_system_score_gemma":0.0001747024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005862956,"about_ca_topic_score_gemma":0.0001032853,"domain_scores_codex":[0.9975114,0.0002497348,0.001004194,0.0004577488,0.000360755,0.0004161069],"domain_scores_gemma":[0.9981234,0.0004162027,0.0004861634,0.0002046521,0.000674247,0.00009532137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001010819,0.0006212955,0.7973785,0.0003851839,0.0002185639,0.0001110647,0.02960033,0.00001569954,0.1584072,0.001190402,0.005007665,0.006053233],"study_design_scores_gemma":[0.002976818,0.00006874547,0.9909393,0.0001122535,0.0002093603,0.00005119779,0.002197883,0.0001795264,0.002746864,0.00005142398,0.0002533728,0.0002132455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958395,0.0001105249,0.00005874965,0.002702757,0.0006172184,0.0003875677,0.00002790238,0.00009087617,0.0001648813],"genre_scores_gemma":[0.996905,0.00001664868,0.0002373209,0.0005823431,0.001388093,0.00005738716,0.0007031829,0.00002694177,0.0000830588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1935607,"threshold_uncertainty_score":0.9555379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1797706367977611,"score_gpt":0.3438316979125612,"score_spread":0.1640610611148001,"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."}}