{"id":"W4390075858","doi":"10.2196/37881","title":"Verification in the Early Stages of the COVID-19 Pandemic: Sentiment Analysis of Japanese Twitter Users","year":2023,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Mental Health via Writing","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sentiment analysis; Disgust; Social media; Anger; Psychology; Sadness; Declaration; Psychological intervention; Public opinion; Anxiety; Public health; Social psychology; Computer science; Medicine; Political science; Artificial intelligence; Psychiatry; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006397088,0.0002416197,0.0002924594,0.0008807271,0.0005740591,0.0007336896,0.0001356706,0.0002699827,0.000832026],"category_scores_gemma":[0.001983203,0.00009640475,0.0003576317,0.0008482004,0.0002862921,0.0006504132,0.0005705196,0.0002845988,0.000308242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003528158,"about_ca_system_score_gemma":0.0002481073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00421167,"about_ca_topic_score_gemma":0.005880188,"domain_scores_codex":[0.9996344,0.00008463308,0.00004823627,0.00006849496,0.00008776778,0.00007638018],"domain_scores_gemma":[0.998929,0.0002621301,0.0003030572,0.00004323396,0.0003398604,0.0001226991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008808217,0.000147006,0.8862512,0.0004903727,0.0001614536,0.000834608,0.01844806,0.0005211062,0.03372062,0.0003299472,0.0058196,0.05239529],"study_design_scores_gemma":[0.000007814426,0.0001236807,0.9755044,0.00003176078,0.00007814661,0.0001689139,0.01450644,0.003713343,0.002383976,0.0001129738,0.003338339,0.0000302026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974969,0.00009383893,0.0004135364,0.0001450003,0.00003061816,0.00003134109,0.0005468644,0.00001153271,0.001230343],"genre_scores_gemma":[0.9974294,0.0001204816,0.0007416861,0.00007057658,0.00004889662,0.00004394839,0.000798568,0.000008264055,0.000738122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00421167,"threshold_uncertainty_score":0.008374274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1646130323396234,"score_gpt":0.4633174075988665,"score_spread":0.2987043752592431,"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."}}