{"id":"W6964360843","doi":"10.25384/sage.c.4975235","title":"Mexico: Lessons learned from the 2009 pandemic that help us fight COVID-19","year":2020,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Preparedness; Public health; Influenza pandemic; Control (management); Element (criminal law); Coronavirus disease 2019 (COVID-19)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003798176,0.0008196099,0.0004129144,0.001286756,0.001925531,0.005424357,0.001255729,0.002379652,0.04678174],"category_scores_gemma":[0.009515244,0.0002528915,0.0006216736,0.002020183,0.0009715076,0.004665143,0.002477301,0.003973272,0.007140138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003826613,"about_ca_system_score_gemma":0.008276778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07363684,"about_ca_topic_score_gemma":0.1337628,"domain_scores_codex":[0.9990671,0.0002843833,0.00006092921,0.0001066245,0.0002380705,0.0002427887],"domain_scores_gemma":[0.9968668,0.0008484998,0.0002162849,0.0002939868,0.0008588267,0.0009156102],"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":[0.0001650876,0.00006230182,0.003569326,0.0005517363,0.0000301157,0.0002885929,0.0007191349,0.0001785802,0.0001280868,0.00548612,0.8271555,0.1616654],"study_design_scores_gemma":[0.00003640393,0.00003638734,0.006467725,0.001066864,0.00003526187,0.0001169564,0.001834525,0.0001005416,0.0002248505,0.003500603,0.9865501,0.00002982507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.00973253,0.05330154,0.001301342,0.7810526,0.01444301,0.00007914138,0.02503419,0.001040642,0.114015],"genre_scores_gemma":[0.2426568,0.2141278,0.0259774,0.2321227,0.01984861,0.0006501322,0.06341482,0.001618552,0.1995832],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07363684,"threshold_uncertainty_score":0.1565005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2935361959536755,"score_gpt":0.4039396825163513,"score_spread":0.1104034865626757,"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."}}