{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01540746,0.005921516,0.0060301,0.005835046,0.01047092,0.01939939,0.006357691,0.04881302,0.02332489],"category_scores_gemma":[0.06148347,0.002151804,0.004572108,0.00294714,0.009579325,0.008910432,0.004596987,0.04285782,0.01167319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01226213,"about_ca_system_score_gemma":0.0231021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03292141,"about_ca_topic_score_gemma":0.08100931,"domain_scores_codex":[0.9851912,0.003602581,0.001061565,0.001204901,0.007382921,0.001556913],"domain_scores_gemma":[0.9530883,0.02204983,0.001886874,0.001345523,0.01288934,0.008740067],"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":[0.00001066721,0.000005524362,0.00001495669,0.0001571758,0.00001633689,0.00006828547,0.0000317672,0.00001005021,0.00001025936,0.0003960519,0.9971151,0.00216382],"study_design_scores_gemma":[0.00003212141,0.00001328271,0.0001428974,0.0007614392,0.00005049476,0.00009466684,0.0001785176,0.00004437233,0.00001884769,0.001584498,0.9970533,0.00002559599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0000138267,0.01338397,0.00003659316,0.09044814,0.8942105,0.00001155924,0.0000381865,0.00002265411,0.001834567],"genre_scores_gemma":[0.0003834915,0.01092802,0.00005612069,0.0818094,0.9003747,0.0000233994,0.00002458146,0.0000291047,0.00637119],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04881302,"threshold_uncertainty_score":0.08896846,"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."}}