{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005036331,0.00008274503,0.000187889,0.0001050498,0.0005719608,0.00001918059,0.0001664662,0.00005931738,0.0001805035],"category_scores_gemma":[0.0001260617,0.00007700543,0.0000266552,0.0002655366,0.0000315476,0.0002243451,0.0002217169,0.0003786525,0.000003060887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001115566,"about_ca_system_score_gemma":0.0001163652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000715462,"about_ca_topic_score_gemma":0.008059041,"domain_scores_codex":[0.9988325,0.0003694569,0.0002190632,0.0002119912,0.0001046802,0.0002623692],"domain_scores_gemma":[0.9996297,0.00009924671,0.00008198996,0.0001144848,0.0000213804,0.00005313863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008157615,0.000129776,0.8642083,0.00003571538,0.000008313486,0.00006018033,0.09924434,0.0001214755,0.0002147988,0.01207301,0.001558849,0.02226371],"study_design_scores_gemma":[0.0005884943,0.00005138846,0.9697202,0.00001169906,0.000006115993,0.00000864238,0.01438673,0.001004904,0.000002908755,0.004654109,0.009396504,0.0001683443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906966,0.002295248,0.00002239779,0.00380255,0.000137654,0.0002408347,0.0000048657,0.00005182255,0.002748003],"genre_scores_gemma":[0.9985785,0.00005613807,0.00005827401,0.0006957391,0.00009887611,0.00008289307,0.00001424647,0.000004947876,0.0004103982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1055119,"threshold_uncertainty_score":0.4497134,"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."}}