{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002593392,0.00004853198,0.0001249147,0.000125597,0.000899752,0.00007837869,0.0002510748,0.00003261832,0.0004671495],"category_scores_gemma":[0.001555153,0.0000464702,0.00002580787,0.001332589,0.002585799,0.000728944,0.00005586962,0.00007208996,0.00005463909],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001325219,"about_ca_system_score_gemma":0.011072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000546466,"about_ca_topic_score_gemma":0.000227141,"domain_scores_codex":[0.9983539,0.00006946529,0.0002863368,0.0001382019,0.0007490586,0.0004030519],"domain_scores_gemma":[0.9988183,0.00007545292,0.0001612972,0.0001854168,0.0003014923,0.0004580779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000008543414,0.0001227591,0.005294642,0.0002079291,0.000003274827,0.000007579636,0.6193604,0.00004929005,0.0007008585,0.2879753,0.02515223,0.06111719],"study_design_scores_gemma":[0.0006554323,0.0002439861,0.07198945,0.000255538,0.000004877434,0.00003670327,0.5080346,0.0003005128,0.004921366,0.004872839,0.4082806,0.0004040897],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8314602,0.001113852,0.001221933,0.03736085,0.002303032,0.0003542566,0.00001142184,0.0001395875,0.1260349],"genre_scores_gemma":[0.9909142,0.0003080743,0.001042513,0.007140958,0.00009394934,8.686965e-7,0.000001546455,0.000002027812,0.0004958939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3831284,"threshold_uncertainty_score":0.9945343,"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."}}