{"id":"W4210751701","doi":"10.2196/preprints.36215","title":"COVID-19 and Tweets About Quitting Cigarette Smoking: Topic Model Analysis of Twitter Posts 2018-2020 (Preprint)","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latent Dirichlet allocation; Social media; Medicine; Topic model; Smoking cessation; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Psychology; Demography; Family medicine; Computer science; Geography; World Wide Web; Disease; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001100481,0.0003570937,0.0002848662,0.001121954,0.0003846734,0.0008613343,0.0002642641,0.0004926985,0.003388617],"category_scores_gemma":[0.004016444,0.0001473035,0.0007846286,0.001088119,0.0001715462,0.0008945965,0.0006520722,0.0006548882,0.002105803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004686619,"about_ca_system_score_gemma":0.0003801202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0110148,"about_ca_topic_score_gemma":0.01427754,"domain_scores_codex":[0.9996282,0.0001276834,0.00003307896,0.00009974758,0.00005081041,0.00006049212],"domain_scores_gemma":[0.9980381,0.001447856,0.0001666532,0.00008754777,0.0001744281,0.00008537094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001959325,0.0005490996,0.7255796,0.001244366,0.0004544708,0.0006749178,0.008278013,0.01731356,0.009187531,0.003840404,0.07287579,0.158043],"study_design_scores_gemma":[0.00006401751,0.0003046627,0.7042699,0.0002598398,0.0001958244,0.000430546,0.009011287,0.2443608,0.003355525,0.0028562,0.03476702,0.000124334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425871,0.0007801122,0.00653364,0.002192575,0.000280661,0.00012768,0.04336041,0.0007122434,0.003425502],"genre_scores_gemma":[0.9258587,0.0005605639,0.00748246,0.0002082443,0.0002684419,0.0002821691,0.06106086,0.0001049674,0.004173549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0110148,"threshold_uncertainty_score":0.02190137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06194763063434645,"score_gpt":0.3566983613531826,"score_spread":0.2947507307188361,"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."}}