{"id":"W4205288466","doi":"10.2196/29246","title":"Constituents’ Inferences of Local Governments’ Goals and the Relationship Between Political Party and Belief in COVID-19 Misinformation: Cross-sectional Survey of Twitter Followers of State Public Health Departments","year":2021,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misinformation; Disinformation; Public health; Politics; Public relations; Social media; Pandemic; Political science; Government (linguistics); Public opinion; Psychology; Coronavirus disease 2019 (COVID-19); Medicine; 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":[0.004410251,0.00008348006,0.0003573629,0.00008334145,0.0001622165,0.00003218128,0.0001091175,0.0001295932,0.00005170971],"category_scores_gemma":[0.006436317,0.00006499599,0.00003511893,0.0002644935,0.002163433,0.0004321364,0.00008619459,0.0001410435,0.000001146952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001628108,"about_ca_system_score_gemma":0.001587178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004014338,"about_ca_topic_score_gemma":0.002664757,"domain_scores_codex":[0.9972035,0.001066579,0.0009962082,0.0001079945,0.0003358296,0.0002898366],"domain_scores_gemma":[0.9955021,0.003419509,0.0005321716,0.0001131236,0.0001812397,0.0002518261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004586786,0.00002144976,0.9122782,0.00005151524,0.00001845861,1.150186e-7,0.007954738,0.00003457838,1.769537e-7,0.07935269,0.00008616707,0.0001560879],"study_design_scores_gemma":[0.001510772,0.00004344732,0.9900542,0.00001231093,0.000002182188,0.000001446752,0.004069745,0.00004580039,0.000004114813,0.003890951,0.000312634,0.00005234528],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942594,0.00007740838,0.001456351,0.001997377,0.00005626465,0.0002794787,0.0001613431,0.000006098836,0.001706254],"genre_scores_gemma":[0.9983379,0.00006885549,0.00006920626,0.00141123,0.000007487545,0.000006074841,0.00007199939,0.000001743197,0.00002548381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0777761,"threshold_uncertainty_score":0.7971259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2479329496169045,"score_gpt":0.4583332024092642,"score_spread":0.2104002527923597,"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."}}