{"id":"W4392369086","doi":"10.2196/54052","title":"A Content Analysis of Indoor Tanning Twitter Chatter During COVID-19 Shutdowns: Cross-Sectional Qualitative Study","year":2024,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Skin Protection and Aging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Coronavirus disease 2019 (COVID-19); Cross-sectional study; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Content analysis; Content (measure theory); Qualitative analysis; Environmental health; Qualitative research; Medicine; Virology; Mathematics; Sociology; Internal medicine; Pathology","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":[0.0003001757,0.0001535904,0.000510422,0.001018111,0.0001222519,0.00004276689,0.00007020131,0.0001090329,0.0008397093],"category_scores_gemma":[0.0001468501,0.000127869,0.0002388067,0.00089417,0.0001454503,0.00009238047,0.00005848936,0.0003131221,0.00004858196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001347288,"about_ca_system_score_gemma":0.00009157984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000123995,"about_ca_topic_score_gemma":0.00002216534,"domain_scores_codex":[0.9983314,0.0002200362,0.0005558013,0.0004009546,0.0002595657,0.0002322233],"domain_scores_gemma":[0.99921,0.0002312519,0.0001134221,0.0002021072,0.0001124587,0.0001307643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002400056,0.0002043915,0.9261722,0.000392459,0.002691825,0.0007705405,0.06535227,0.0000275502,0.003741096,0.000108952,0.0002641407,0.0000345864],"study_design_scores_gemma":[0.002268868,0.0001160728,0.9627522,0.00006630253,0.0005096931,0.001249797,0.02945674,0.001119414,0.001362782,0.0000617263,0.0008643811,0.0001719808],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938915,0.0002260634,0.001906218,0.002746381,0.0002436199,0.0006497027,0.00001011126,0.0001414764,0.0001849594],"genre_scores_gemma":[0.9968143,0.000002171346,0.00004893922,0.001880473,0.00006561243,0.0003028514,0.00001993084,0.00001740783,0.0008483439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03658005,"threshold_uncertainty_score":0.9194228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1347915958561145,"score_gpt":0.465464383848567,"score_spread":0.3306727879924525,"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."}}