{"id":"W3040145761","doi":"10.3389/fpubh.2020.00358","title":"The North American Layman's Understanding of COVID-19: Are We Doing Enough?","year":2020,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Pandemic; Public health; Quarter (Canadian coin); Risk perception; Observational study; Population; Perception; Psychology; Coronavirus disease 2019 (COVID-19); Medicine; Demography; Descriptive statistics; Environmental health; Family medicine; Disease; Geography; Nursing; Sociology; Infectious disease (medical specialty); Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002194165,0.0001972333,0.0004464932,0.0008722188,0.00247344,0.002508368,0.000600478,0.0009472679,0.005704582],"category_scores_gemma":[0.005507103,0.000335526,0.0004345497,0.0008274163,0.002294965,0.002257632,0.001065005,0.001770056,0.0004208066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002180497,"about_ca_system_score_gemma":0.003750131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2392011,"about_ca_topic_score_gemma":0.2317555,"domain_scores_codex":[0.9987483,0.0003209742,0.00006170291,0.0001295785,0.0003426001,0.000396782],"domain_scores_gemma":[0.9971024,0.0007221373,0.0009940559,0.0001122771,0.0004297956,0.0006392311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001148119,0.0002314237,0.8489264,0.0003424501,0.00006450694,0.0007739139,0.1142836,0.00002610082,0.0004529798,0.0009841402,0.004972022,0.02882764],"study_design_scores_gemma":[0.000009416051,0.0001174064,0.7507552,0.0007427522,0.00005819111,0.0005269806,0.2391896,0.00008519006,0.00007581624,0.0005244813,0.007880526,0.00003444912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805619,0.002997167,0.0001105957,0.008709602,0.00008065819,0.00002721727,0.0001499462,0.00000298374,0.007359893],"genre_scores_gemma":[0.9955816,0.001949689,0.00006232137,0.001642163,0.00003875553,0.00001340562,0.00007400347,0.000001972202,0.0006360004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2392011,"threshold_uncertainty_score":0.4756176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1505258666511084,"score_gpt":0.36433639520825,"score_spread":0.2138105285571416,"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."}}