{"id":"W4386780914","doi":"10.2196/46874","title":"Public Health Surveillance of Behavioral Cancer Risk Factors During the COVID-19 Pandemic: Sentiment and Emotion Analysis of Twitter Data","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mental Health via Writing","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Toronto; Institute of Population and Public Health; Public Health Ontario; McMaster University; Impact","funders":"Canadian Institutes of Health Research; Cancer Research Society","keywords":"Sadness; Disgust; Sentiment analysis; Anger; Surprise; Pandemic; Psychology; Social media; Coronavirus disease 2019 (COVID-19); Applied psychology; Social psychology; Medicine; Computer science; Artificial intelligence; World Wide Web","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":[0.001861977,0.0003009731,0.000328484,0.002469248,0.0004216915,0.0008301684,0.0002399443,0.0003380948,0.00111572],"category_scores_gemma":[0.006174165,0.0001237821,0.0003659483,0.00189222,0.0001637449,0.0007745654,0.0007053992,0.0003638847,0.0007358353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004933538,"about_ca_system_score_gemma":0.000427206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005343385,"about_ca_topic_score_gemma":0.006760152,"domain_scores_codex":[0.9990581,0.0003464585,0.0001606655,0.0001441789,0.0001977137,0.00009288314],"domain_scores_gemma":[0.9951612,0.001859909,0.001143528,0.0002665618,0.001357858,0.0002108959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006473102,0.0001844827,0.844882,0.0009486908,0.0001976771,0.000431537,0.002727671,0.002204301,0.01766117,0.0006973141,0.02470252,0.1047153],"study_design_scores_gemma":[0.00002720591,0.0002857313,0.9221795,0.0002311206,0.0001386904,0.0003196093,0.006654772,0.03704858,0.008018588,0.001049799,0.0239739,0.00007253339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9260401,0.0005493278,0.005873931,0.002483992,0.0002188804,0.0006524511,0.05468303,0.0003681329,0.009130125],"genre_scores_gemma":[0.955892,0.0005249131,0.01224382,0.0003965911,0.0002939963,0.0004558974,0.0286298,0.00003984924,0.001523165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005343385,"threshold_uncertainty_score":0.01062453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.520166226558805,"score_gpt":0.587211020044944,"score_spread":0.06704479348613901,"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."}}