{"id":"W4281780373","doi":"10.1038/s41598-022-13053-z","title":"Online symptoms self-assessment during COVID-19 pandemic: an analysis of a COVID-19 portal responses from Canada","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Waterloo","funders":"University of Waterloo","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Sore throat; Medicine; Public health; Demography; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Pathology; Surgery; Disease; Outbreak; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001178739,0.000300723,0.0003234787,0.002360954,0.002025847,0.001205029,0.0006780477,0.0003805415,0.001782647],"category_scores_gemma":[0.005772789,0.0002839729,0.0004217749,0.004387022,0.0007270956,0.0003505709,0.001236598,0.0006523323,0.0002829045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01670124,"about_ca_system_score_gemma":0.02185302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.969257,"about_ca_topic_score_gemma":0.9831457,"domain_scores_codex":[0.9981313,0.0002126483,0.000134162,0.0001514966,0.0008331168,0.0005371699],"domain_scores_gemma":[0.9925091,0.000674749,0.00128162,0.0001543674,0.00400808,0.001372197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002067383,0.0001011105,0.9807149,0.0001146462,0.00003209467,0.0002407985,0.007169505,0.00008681064,0.0004355125,0.00005092648,0.001759467,0.009087431],"study_design_scores_gemma":[0.000003563978,0.00004794401,0.9924251,0.0000207603,0.000006641138,0.0000353115,0.006006585,0.0001275057,0.00008047601,0.000004033636,0.001232025,0.00001022046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917254,0.0001239712,0.0000855582,0.0001991231,0.00000808902,0.0002147741,0.0051509,0.00001058823,0.002481663],"genre_scores_gemma":[0.9939017,0.0002915347,0.0002990919,0.000224731,0.000008289834,0.0001215315,0.003205787,0.00000933648,0.001938069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.030743,"threshold_uncertainty_score":0.1211766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0548422791303133,"score_gpt":0.4163786350091242,"score_spread":0.3615363558788109,"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."}}