{"id":"W4413552068","doi":"10.64628/aam.fddqs6kgd","title":"#COVID19: Social media both a blessing and a curse during coronavirus pandemic","year":2020,"lang":"en","type":"preprint","venue":"","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Blessing; Pandemic; Curse; Coronavirus; Coronavirus disease 2019 (COVID-19); Virology; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Political science; Sociology; Medicine; Geography; Infectious disease (medical specialty); Anthropology","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":[0.002279115,0.000627073,0.0005823832,0.001354669,0.001025671,0.005319686,0.0004776168,0.002599351,0.03878433],"category_scores_gemma":[0.01893778,0.00029671,0.0004418849,0.001595408,0.0006491332,0.004218611,0.001664516,0.002184483,0.004411074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00196291,"about_ca_system_score_gemma":0.001658341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02557237,"about_ca_topic_score_gemma":0.01854505,"domain_scores_codex":[0.9989486,0.0004001945,0.00003870553,0.0001434629,0.0003529213,0.0001160994],"domain_scores_gemma":[0.991969,0.004897063,0.0006555104,0.0006778673,0.001174319,0.0006261835],"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":[0.0002346143,0.00008459602,0.009669646,0.0002015932,0.0001046905,0.0003004751,0.0002705674,0.01276576,0.0006986118,0.2352587,0.701837,0.03857371],"study_design_scores_gemma":[0.0001802321,0.000116407,0.02045787,0.0003923697,0.0001585474,0.0004547394,0.001502946,0.1954203,0.003559397,0.3928589,0.384717,0.0001812216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1696253,0.01054064,0.07507698,0.3462402,0.02093325,0.0002218659,0.09006155,0.003797308,0.2835028],"genre_scores_gemma":[0.8463552,0.003765438,0.01293311,0.005890204,0.008657435,0.0001790079,0.02400616,0.001392788,0.09682063],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03878433,"threshold_uncertainty_score":0.1297465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1573504597237217,"score_gpt":0.3147396307900304,"score_spread":0.1573891710663087,"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."}}