{"id":"W3120481045","doi":"10.30699/ijmm.15.1.1","title":"The COVID-19 Pandemic: Data Analysis, Impacts and Future Considerations","year":2021,"lang":"en","type":"article","venue":"Iranian Journal of Medical Microbiology","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pandemic; Context (archaeology); Disease; Coronavirus; Outbreak; Coronavirus disease 2019 (COVID-19); Medicine; Epidemiology; Disease surveillance; Environmental health; Infectious disease (medical specialty); Virology; Geography; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.03237814,0.001199482,0.001451002,0.006854576,0.0008656131,0.005181654,0.002271132,0.0016866,0.008567657],"category_scores_gemma":[0.08617887,0.0003838719,0.001605919,0.01208821,0.001233327,0.005880366,0.002400698,0.003455786,0.002445995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00348165,"about_ca_system_score_gemma":0.008269736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02057082,"about_ca_topic_score_gemma":0.0270155,"domain_scores_codex":[0.9842202,0.008081769,0.002015484,0.001399954,0.003541013,0.000741699],"domain_scores_gemma":[0.9346432,0.0307146,0.005338794,0.003507406,0.02325052,0.002545463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001186043,0.0004718015,0.3531674,0.008349846,0.001569178,0.001154875,0.001168735,0.006406276,0.0009717393,0.0293989,0.2299554,0.3661998],"study_design_scores_gemma":[0.0001402058,0.0008068468,0.2887737,0.01890341,0.001329583,0.002465054,0.01443446,0.02765861,0.001633395,0.07619383,0.5672905,0.0003704455],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.107364,0.189486,0.04502288,0.4697569,0.01057574,0.001769792,0.1327654,0.001313322,0.04194612],"genre_scores_gemma":[0.626445,0.1394879,0.09256769,0.03485446,0.008197382,0.002092108,0.09023442,0.000576013,0.005544952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03237814,"threshold_uncertainty_score":0.1712341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09704399879426791,"score_gpt":0.4146222491436495,"score_spread":0.3175782503493816,"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."}}