{"id":"W4405624179","doi":"10.29173/hsi425","title":"A Bestiary of COVID Conspiracies","year":2021,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Public health; Population; Trojan horse; Public relations; Order (exchange); Disease; Political science; Internet privacy; Medicine; Computer science; Environmental health; Business; Computer security; Infectious disease (medical specialty)","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":[0.01479407,0.0005902008,0.0005202919,0.003711634,0.01178394,0.01075565,0.001213967,0.004815999,0.00415361],"category_scores_gemma":[0.02717131,0.0003707561,0.0004828076,0.002242535,0.05584516,0.01593681,0.008069854,0.009177793,0.0004638373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006863924,"about_ca_system_score_gemma":0.004100292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007334868,"about_ca_topic_score_gemma":0.006657311,"domain_scores_codex":[0.9871142,0.00736649,0.0004103367,0.001058616,0.003106331,0.0009440606],"domain_scores_gemma":[0.9607766,0.02788163,0.003727343,0.003103982,0.003281534,0.001228924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003071888,0.00002258597,0.00283407,0.0001492055,0.00001680715,0.0004363089,0.1887179,0.000134698,0.0003631492,0.7849178,0.005441541,0.01693522],"study_design_scores_gemma":[0.00001682803,0.00008617688,0.005415532,0.0011828,0.00004016703,0.001034701,0.1826917,0.001196068,0.001190455,0.563414,0.2436235,0.0001080828],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.2215259,0.01474635,0.03974879,0.2282176,0.001894343,0.000102029,0.0001582264,0.0001383399,0.4934684],"genre_scores_gemma":[0.9824342,0.002010549,0.00188646,0.007464067,0.0003241623,0.00002694692,0.00002646784,0.00003780673,0.005789234],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01479407,"threshold_uncertainty_score":0.07823944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1861362245344278,"score_gpt":0.4803780767163644,"score_spread":0.2942418521819365,"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."}}