{"id":"W4400443580","doi":"10.5465/amproc.2024.12111abstract","title":"Longitudinal Analysis of Health Misinformation: A Case of COVID-19 Pandemic","year":2024,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Misinformation; Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Medicine; Political science; Outbreak; Internal medicine; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.005457975,0.0003016856,0.0003941232,0.002210682,0.001649167,0.001283514,0.0006026254,0.001220569,0.002967432],"category_scores_gemma":[0.02329641,0.0002662975,0.000476132,0.002490514,0.0006660653,0.001894394,0.0015266,0.001918908,0.0005111441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001252478,"about_ca_system_score_gemma":0.00103367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02249237,"about_ca_topic_score_gemma":0.02865537,"domain_scores_codex":[0.9980817,0.001009032,0.0001431863,0.0002221515,0.0002512486,0.0002926751],"domain_scores_gemma":[0.9745135,0.01402759,0.005263943,0.002329301,0.002824711,0.001040972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002132601,0.0004585512,0.9648971,0.0000767899,0.0001096224,0.002410644,0.00873027,0.002158256,0.0004024163,0.003829322,0.004239181,0.01247445],"study_design_scores_gemma":[0.00004836802,0.0004589453,0.8893443,0.0002491436,0.0001919249,0.001799238,0.03303159,0.05124021,0.001026486,0.0108649,0.01156801,0.0001768385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918304,0.0002569669,0.002672535,0.001421161,0.00002605827,0.00005879578,0.002198667,0.00002119561,0.001514291],"genre_scores_gemma":[0.9948295,0.0001660946,0.001984069,0.0001390105,0.00003479188,0.00009408099,0.002141781,0.000009884689,0.0006008922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02249237,"threshold_uncertainty_score":0.04472291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.115283374200383,"score_gpt":0.4249614955733171,"score_spread":0.3096781213729341,"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."}}