{"id":"W4387002114","doi":"10.2196/42857","title":"Social Media and Selfie-Related Mortality Amid COVID-19: Interrupted Time Series Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Grief, Bereavement, and Mental Health","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Institut National de Santé Publique du Québec; Université de Sherbrooke; Héma-Québec; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Selfie; Pandemic; Demography; Interrupted Time Series Analysis; Interrupted time series; Medicine; Coronavirus disease 2019 (COVID-19); Social media; Statistics; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003581359,0.0004864976,0.0006945305,0.001801564,0.0003404631,0.001082791,0.0008729284,0.0007396998,0.00383028],"category_scores_gemma":[0.01070932,0.0002884846,0.001623029,0.002623787,0.0003808475,0.000695407,0.0008646865,0.001662173,0.0005255117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006991422,"about_ca_system_score_gemma":0.000574008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01730526,"about_ca_topic_score_gemma":0.008268391,"domain_scores_codex":[0.9979963,0.000785449,0.0002919186,0.000376239,0.00026681,0.0002831494],"domain_scores_gemma":[0.9918467,0.003321399,0.003387182,0.0005644081,0.000453024,0.000427398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004876553,0.0002083377,0.988188,0.0001539894,0.0008540842,0.0002068798,0.00031951,0.001957258,0.0001226209,0.0003236048,0.001044799,0.006133276],"study_design_scores_gemma":[0.00002819834,0.0003222842,0.9706213,0.0001082511,0.0003930206,0.0002292088,0.0006046818,0.02582641,0.0001622533,0.0003295512,0.001342792,0.00003204727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888912,0.00123216,0.002373581,0.0003826928,0.00007219401,0.0001069096,0.005828913,0.00004643165,0.001066028],"genre_scores_gemma":[0.9927209,0.0004602629,0.0007418696,0.00005324141,0.00006123206,0.0001589114,0.005073935,0.00001095347,0.0007186346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01730526,"threshold_uncertainty_score":0.03440905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1415032887091608,"score_gpt":0.5161323116012223,"score_spread":0.3746290228920616,"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."}}