{"id":"W4293558157","doi":"10.2196/37635","title":"Emotions and Incivility in Vaccine Mandate Discourse: Natural Language Processing Insights","year":2022,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incivility; Anger; Sadness; Social media; Anxiety; Psychology; Social psychology; Public relations; Political science; Law","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":[0.003010276,0.0004682856,0.0003294311,0.002138451,0.0009699303,0.003579802,0.0005021579,0.0008264139,0.003367622],"category_scores_gemma":[0.01973656,0.0003804584,0.0006988828,0.001259313,0.001641593,0.003187144,0.001812554,0.001535637,0.0004686684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503123,"about_ca_system_score_gemma":0.000717325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004090491,"about_ca_topic_score_gemma":0.003980912,"domain_scores_codex":[0.9975599,0.001363824,0.0001376639,0.0004164144,0.0003641163,0.0001580147],"domain_scores_gemma":[0.9798176,0.01694923,0.001958051,0.0002823243,0.0008030227,0.0001897609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001235026,0.00113001,0.2281751,0.002764323,0.0002439297,0.003535449,0.4348391,0.005660574,0.06246061,0.05998227,0.01144306,0.1885307],"study_design_scores_gemma":[0.0001325427,0.0002266379,0.585835,0.000728038,0.000192191,0.001249144,0.1450996,0.1290076,0.008837218,0.09986459,0.0284678,0.0003595498],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9529824,0.0005078635,0.02868708,0.002818551,0.0000544639,0.0003926378,0.002381246,0.0002288948,0.01194684],"genre_scores_gemma":[0.9737912,0.0002269796,0.02293821,0.000370816,0.00005145759,0.0004944699,0.001134448,0.00006322189,0.0009291962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004090491,"threshold_uncertainty_score":0.01592004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475437392995253,"score_gpt":0.35125438093936,"score_spread":0.3365000070094075,"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."}}