{"id":"W4283065846","doi":"10.1029/2022gh000630","title":"A Spatiotemporal Analysis of the COVID‐19 Pandemic in North Africa","year":2022,"lang":"en","type":"article","venue":"GeoHealth","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Virology; Medicine; Outbreak; Infectious disease (medical specialty); Disease","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008646824,0.00007416349,0.0004164419,0.0005827773,0.0001738388,0.000008640299,0.000353635,0.00002484095,0.001716179],"category_scores_gemma":[0.0001013443,0.00006969026,0.0001901831,0.00352027,0.00003117968,0.00004300518,0.0001544156,0.0001734885,0.00001957159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002326735,"about_ca_system_score_gemma":0.0001016829,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04026927,"about_ca_topic_score_gemma":0.04109721,"domain_scores_codex":[0.9988012,0.0000781716,0.0005804896,0.000264113,0.00006772645,0.000208246],"domain_scores_gemma":[0.9989724,0.00006116166,0.0004526934,0.0004281258,0.000009140855,0.00007655049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001217456,0.00005196822,0.9812381,0.00001105243,0.0001245186,9.896091e-7,0.001362976,0.01329593,2.574334e-7,0.003183447,0.0004471136,0.0002714334],"study_design_scores_gemma":[0.000241468,0.00003377961,0.9210597,4.898118e-7,0.0000629967,7.794625e-7,0.0001823569,0.01318893,1.282083e-7,0.001928525,0.06320381,0.00009708079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935856,0.0007851061,0.0005139119,0.001345009,0.0001210634,0.000143017,0.001954817,0.00001231436,0.001539088],"genre_scores_gemma":[0.9984487,0.00009356489,0.00003516864,0.0008492792,0.00001535467,0.00002843359,0.0002115545,0.000005436599,0.0003125131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0627567,"threshold_uncertainty_score":0.9991964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1200808310026379,"score_gpt":0.2639496367023088,"score_spread":0.1438688056996709,"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."}}