{"id":"W3133105615","doi":"10.2105/ajph.2020.306121","title":"Crowdfunding Campaigns and COVID-19 Misinformation","year":2021,"lang":"en","type":"article","venue":"American Journal of Public Health","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Misinformation; Coronavirus disease 2019 (COVID-19); Psychological intervention; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Social media; MEDLINE; Internet privacy; Pandemic; Family medicine; Environmental health; Political science; Virology; Psychiatry; Outbreak; Computer science; 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":[0.0145798,0.0005740528,0.0004732316,0.006205875,0.001866335,0.00329313,0.0006671555,0.001733164,0.01051688],"category_scores_gemma":[0.08497301,0.0003485104,0.0004160499,0.002567024,0.00184007,0.00418922,0.00334038,0.001620866,0.0008224177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002103327,"about_ca_system_score_gemma":0.002364039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004374926,"about_ca_topic_score_gemma":0.004164268,"domain_scores_codex":[0.9871449,0.007659894,0.000914083,0.0006731141,0.002728365,0.0008797318],"domain_scores_gemma":[0.8104993,0.1312342,0.04637186,0.004015759,0.004879115,0.002999874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001600133,0.0007534719,0.4795683,0.00503797,0.0006456832,0.002867021,0.04548674,0.001009617,0.002256476,0.01540537,0.05806552,0.3873037],"study_design_scores_gemma":[0.0003221191,0.001213056,0.5734703,0.01575286,0.0008207021,0.003967091,0.06630592,0.005164573,0.005773617,0.02611386,0.3006232,0.000472662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8396661,0.01305982,0.004457172,0.04702296,0.0008313121,0.0007913923,0.004250888,0.0002826027,0.08963785],"genre_scores_gemma":[0.9851776,0.003183874,0.002084269,0.004950331,0.0006513143,0.0002130056,0.0006897651,0.00004061711,0.003009278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0145798,"threshold_uncertainty_score":0.0771063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1331911100874458,"score_gpt":0.4313102333355578,"score_spread":0.298119123248112,"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."}}