{"id":"W3127933676","doi":"10.3390/healthcare9020156","title":"Web Search Engine Misinformation Notifier Extension (SEMiNExt): A Machine Learning Based Approach during COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"Healthcare","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Misinformation; Computer science; Artificial intelligence; Web search query; Search engine; Information retrieval; Machine learning; World Wide Web; Computer security","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":[0.001249233,0.0006797733,0.0006069072,0.002032868,0.0004891502,0.0008044679,0.0005888941,0.0008316736,0.0009550497],"category_scores_gemma":[0.004258645,0.000171884,0.0005863335,0.0009992551,0.0002548497,0.001829177,0.0005769232,0.0006874013,0.0006159592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006004254,"about_ca_system_score_gemma":0.0008701601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01038303,"about_ca_topic_score_gemma":0.01244093,"domain_scores_codex":[0.9991359,0.0002712906,0.00009791044,0.0001723028,0.0002098412,0.0001126965],"domain_scores_gemma":[0.9971117,0.001250921,0.0003778894,0.0003012116,0.0007859361,0.000172313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002262427,0.001188308,0.1484606,0.001322832,0.0002255467,0.002133319,0.001021901,0.07740358,0.02800733,0.003948535,0.0367257,0.6973],"study_design_scores_gemma":[0.0000505282,0.0005985773,0.06262336,0.0001214043,0.0001468202,0.001028583,0.0008786868,0.8910228,0.02022658,0.003324606,0.0198518,0.0001262789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8736444,0.003440602,0.09092723,0.002767901,0.0004710937,0.0008100028,0.006183815,0.008348635,0.01340652],"genre_scores_gemma":[0.9222804,0.0005932042,0.06444491,0.0003073409,0.0001273849,0.0001586331,0.006518337,0.0001210923,0.005448612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01038303,"threshold_uncertainty_score":0.0206452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1096771282038783,"score_gpt":0.3831739194392211,"score_spread":0.2734967912353428,"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."}}