{"id":"W3106128613","doi":"10.3138/jmvfh-6.s2-0001-2","title":"COVID-19: Cutting through the noise","year":2020,"lang":"en","type":"article","venue":"Journal of Military Veteran and Family Health","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Noise (video); Virology; Acoustics; Medicine; Computer science; Artificial intelligence; Physics; Internal medicine; Outbreak; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005051598,0.00111318,0.0008516998,0.001391555,0.002164645,0.004166238,0.001885044,0.002789357,0.04634367],"category_scores_gemma":[0.01236686,0.0004554383,0.0008994623,0.0005765939,0.0005935359,0.001669466,0.005058918,0.002920498,0.02131358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124075,"about_ca_system_score_gemma":0.004960346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005504902,"about_ca_topic_score_gemma":0.01163155,"domain_scores_codex":[0.9954565,0.001006957,0.0003256333,0.0003628554,0.002012808,0.0008353282],"domain_scores_gemma":[0.9941741,0.001095522,0.0003876375,0.0003656163,0.002134712,0.001842493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001265454,0.0004726915,0.01149912,0.0008196008,0.00008853893,0.0005824319,0.0005133242,0.0004367673,0.003781435,0.003889944,0.6147348,0.3619159],"study_design_scores_gemma":[0.0002638831,0.0009031364,0.009566111,0.0009997943,0.000125593,0.001393028,0.0007665532,0.001445318,0.00384363,0.002344019,0.9782596,0.00008939866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.09537526,0.02333284,0.07792658,0.126755,0.08012033,0.003017799,0.01799838,0.03490156,0.5405722],"genre_scores_gemma":[0.3605039,0.01867752,0.1519187,0.080905,0.02056984,0.002733627,0.04030562,0.01120311,0.3131827],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.04634367,"threshold_uncertainty_score":0.155035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06432882239677916,"score_gpt":0.3482419642335383,"score_spread":0.2839131418367591,"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."}}