{"id":"W4307257964","doi":"10.31219/osf.io/ez8kp","title":"[Poster] Safeguarding People against Social Media Frauds during the COVID-19 Oxygen Supply Crisis in India","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Mental Health via Writing","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Safeguarding; Coronavirus disease 2019 (COVID-19); Social media; Pandemic; Shock (circulatory); Oxygen; Business; 2019-20 coronavirus outbreak; Political science; Medicine; Law; Chemistry; Disease; Virology; 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":[0.001351731,0.0003485707,0.0002164347,0.0006421397,0.003433269,0.004141924,0.000557503,0.001742245,0.02547839],"category_scores_gemma":[0.009957626,0.0001491647,0.0002926457,0.000556439,0.001665163,0.002762048,0.002080355,0.003534437,0.006796846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009518099,"about_ca_system_score_gemma":0.001225021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003244779,"about_ca_topic_score_gemma":0.009969432,"domain_scores_codex":[0.9992706,0.0002844277,0.00002721166,0.00006348067,0.0001669152,0.0001874637],"domain_scores_gemma":[0.9960262,0.00157761,0.0003236373,0.0002611098,0.0007326596,0.00107869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003349344,0.0002426189,0.007218044,0.0003651501,0.0000391545,0.0009126951,0.01289834,0.0006821886,0.002136086,0.0268263,0.7729595,0.1753851],"study_design_scores_gemma":[0.00008868882,0.0002131108,0.01743625,0.0005289222,0.00006791932,0.001061425,0.02409895,0.00452943,0.00361508,0.02751822,0.9207364,0.0001056336],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.136384,0.005080478,0.01229991,0.4389791,0.03598641,0.0002909825,0.001881678,0.001724906,0.3673725],"genre_scores_gemma":[0.7356091,0.004298223,0.008313579,0.04346123,0.008896817,0.000144839,0.00111131,0.0005677124,0.1975973],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02547839,"threshold_uncertainty_score":0.08523369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04632216009669021,"score_gpt":0.3723714429319246,"score_spread":0.3260492828352344,"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."}}