{"id":"W3217623737","doi":"10.1038/s41390-021-01866-z","title":"The importance of trustworthiness: lessons from the COVID-19 pandemic","year":2021,"lang":"en","type":"article","venue":"Pediatric Research","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Trustworthiness; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Coronavirus Infections; Medicine; Computer science; Outbreak; Internet privacy; Internal medicine; Infectious disease (medical specialty); Disease","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":[0.04634437,0.0005233405,0.00112934,0.002776907,0.005468268,0.01319685,0.001761314,0.008045843,0.007376543],"category_scores_gemma":[0.136136,0.0005056132,0.0006022178,0.00188873,0.02864844,0.01536168,0.00813151,0.01184389,0.0007648924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009186812,"about_ca_system_score_gemma":0.01719711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02313868,"about_ca_topic_score_gemma":0.02124067,"domain_scores_codex":[0.9784928,0.01403661,0.0007757278,0.00129558,0.003512881,0.001886447],"domain_scores_gemma":[0.7704011,0.170114,0.01602563,0.01075523,0.0193451,0.01335897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004827728,0.0002732884,0.0647767,0.0009858318,0.0002800103,0.00283111,0.1001873,0.001908155,0.0003804198,0.5519366,0.09698787,0.1789699],"study_design_scores_gemma":[0.0001016174,0.0002397275,0.0319313,0.005269509,0.00009497326,0.001336918,0.08560762,0.001809929,0.0006717304,0.6923813,0.1803409,0.0002144824],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.06131149,0.02007069,0.004237773,0.8455449,0.001605492,0.0000591967,0.0002772823,0.00004306607,0.06685009],"genre_scores_gemma":[0.9377997,0.01868154,0.001470913,0.03673662,0.00265511,0.0000509007,0.00006176608,0.00007909364,0.002464229],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04634437,"threshold_uncertainty_score":0.2450954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3027945301602327,"score_gpt":0.5141668388799031,"score_spread":0.2113723087196704,"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."}}