{"id":"W4366331276","doi":"10.46747/cfp.6904224","title":"The remains of a pandemic","year":2023,"lang":"en","type":"editorial","venue":"Canadian Family Physician","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Computer science; 2019-20 coronavirus outbreak; Data science; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); World Wide Web; Virology; Medicine; Pathology; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001738688,0.0001783687,0.0003272419,0.0001204595,0.001361631,0.0001370293,0.001014296,0.0007249041,0.000001997372],"category_scores_gemma":[0.001319029,0.0001591998,0.0001550196,0.0008278916,0.0005336375,0.00008059304,0.00003279769,0.0007454482,0.0002110139],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001064297,"about_ca_system_score_gemma":0.01815525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.74081,"about_ca_topic_score_gemma":0.9646391,"domain_scores_codex":[0.9970976,0.0003703377,0.0003017678,0.0002813338,0.0008937148,0.001055265],"domain_scores_gemma":[0.9966126,0.001671328,0.0002029156,0.0003973548,0.0003475763,0.0007681922],"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":[0.00000193079,0.000003947938,0.000003057846,0.00001989932,0.00002324107,0.000004313601,0.000929984,3.332154e-7,4.766303e-7,0.0152843,0.974342,0.009386524],"study_design_scores_gemma":[0.00006411803,0.0000194048,0.00007295662,0.00007894729,0.00001398307,3.772343e-9,0.003577157,0.000001139033,6.779756e-8,0.003748675,0.9922651,0.0001584208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00008069508,0.0005874707,2.9749e-7,0.001437229,0.6911114,0.0002271286,0.0008800114,0.00006274571,0.305613],"genre_scores_gemma":[0.0007562243,0.003069052,0.000002735675,0.005815607,0.9860455,0.00002762973,0.0002282936,0.00004770603,0.004007255],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3016057,"threshold_uncertainty_score":0.9999385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02651744019209759,"score_gpt":0.3086723684246519,"score_spread":0.2821549282325543,"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."}}