{"id":"W4224253360","doi":"10.2196/36215","title":"COVID-19 and Tweets About Quitting Cigarette Smoking: Topic Model Analysis of Twitter Posts 2018-2020","year":2022,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"American Cancer Society","keywords":"Quarter (Canadian coin); Pandemic; Latent Dirichlet allocation; Smoking cessation; Medicine; Social media; Topic model; Psychology; Public health; Coronavirus disease 2019 (COVID-19); Demography; Disease; Computer science; Geography; Nursing; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001156968,0.0003590512,0.0003209469,0.001538174,0.0004240903,0.0009083304,0.0002357597,0.0004720712,0.00173381],"category_scores_gemma":[0.004330169,0.0001414154,0.0007113971,0.001392568,0.0002040677,0.001028714,0.0007750423,0.0006628503,0.001071839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004965293,"about_ca_system_score_gemma":0.0003568233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009300891,"about_ca_topic_score_gemma":0.0114477,"domain_scores_codex":[0.9994804,0.0001641361,0.00004656329,0.0001366992,0.00007861037,0.00009348826],"domain_scores_gemma":[0.9979994,0.001334724,0.0002543289,0.00009721277,0.0002120564,0.0001023564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001453864,0.0003496665,0.829191,0.0008174576,0.0003398797,0.0005859677,0.009102568,0.009160515,0.008432179,0.002679839,0.02320057,0.1146865],"study_design_scores_gemma":[0.00003310189,0.0002481608,0.8224692,0.0001621555,0.0001743751,0.0004818918,0.009027312,0.1418407,0.002270865,0.002108039,0.0210954,0.00008891941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741654,0.000633344,0.003942021,0.001032213,0.0001174964,0.00008556131,0.01722158,0.0002403178,0.002562016],"genre_scores_gemma":[0.9718959,0.00036813,0.003533582,0.0001134822,0.0001280182,0.000155097,0.02181694,0.00003893209,0.001949778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009300891,"threshold_uncertainty_score":0.01849347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06294890541848562,"score_gpt":0.3741201447945593,"score_spread":0.3111712393760737,"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."}}