{"id":"W4320511919","doi":"10.2991/978-2-494069-31-2_418","title":"Fake News During the COVID-19","year":2022,"lang":"en","type":"book-chapter","venue":"Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Fake news; Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Internet privacy; History; Political science; Virology; Computer science; Medicine; 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":[0.001281796,0.0005322605,0.0003141731,0.001668982,0.002382145,0.004883929,0.0005877063,0.002771669,0.01681222],"category_scores_gemma":[0.005053612,0.000336793,0.0003500649,0.001641177,0.001805173,0.006416443,0.001491438,0.002590316,0.00610012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002061679,"about_ca_system_score_gemma":0.0007688408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002520432,"about_ca_topic_score_gemma":0.003705347,"domain_scores_codex":[0.9988185,0.0003296825,0.00004508514,0.0001024067,0.0005883535,0.0001160034],"domain_scores_gemma":[0.9962698,0.002420808,0.0003742542,0.0002814277,0.0005067722,0.0001468678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002338042,0.0001133719,0.003052593,0.001188745,0.00003893739,0.002216478,0.01580288,0.0008251249,0.002749487,0.2847688,0.3859049,0.3031048],"study_design_scores_gemma":[0.0000124891,0.00008655458,0.003301569,0.0009097101,0.00002524861,0.002705277,0.002892262,0.0008330329,0.002840954,0.01483543,0.9715108,0.00004667293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0567129,0.06229033,0.006395685,0.024312,0.006572237,0.0001182303,0.0008951377,0.0004609555,0.8422426],"genre_scores_gemma":[0.3649395,0.05131122,0.004732871,0.008099503,0.00399376,0.00007872948,0.001035462,0.0003805456,0.5654284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01681222,"threshold_uncertainty_score":0.05624253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1618576894914998,"score_gpt":0.5000036086068241,"score_spread":0.3381459191153243,"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."}}