{"id":"W4390003646","doi":"10.1002/wmh3.599","title":"“We are adapting to it because it is within us”: The co‐becoming of COVID‐19 in Malawi","year":2023,"lang":"en","type":"article","venue":"World Medical & Health Policy","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"Mitacs","keywords":"Pandemic; Sustenance; Realm; Indigenous; Public relations; Sociology; Coronavirus disease 2019 (COVID-19); Psychological intervention; Political science; Economic growth; Medicine; Nursing; Ecology; Biology; Disease","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008811149,0.0002801719,0.001061079,0.0004543027,0.0003494255,0.00001205346,0.0006113407,0.0001498652,0.0007496556],"category_scores_gemma":[0.08513952,0.0001872183,0.0001429915,0.002217347,0.0002840163,0.0000350479,0.0006144069,0.0008336604,0.0001680393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007032834,"about_ca_system_score_gemma":0.001542058,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01386937,"about_ca_topic_score_gemma":0.04902127,"domain_scores_codex":[0.9949144,0.0008686911,0.001669779,0.0004961769,0.0009437732,0.001107245],"domain_scores_gemma":[0.9816507,0.01595194,0.0006194714,0.0005618245,0.00004774594,0.001168279],"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":[0.00005776045,0.0001347708,0.02306209,0.001574708,0.00004754975,0.00005368668,0.02576216,0.0001005338,0.000003514358,0.03525604,0.9108583,0.003088932],"study_design_scores_gemma":[0.001369709,0.000222539,0.01404538,0.002373217,0.00002355912,0.00001040904,0.00972638,0.002026709,0.00001230774,0.05140582,0.9183733,0.0004106747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03229313,0.0002328794,0.0002705006,0.9643244,0.0001268241,0.0008350426,0.00005331435,0.0001902341,0.001673748],"genre_scores_gemma":[0.3083088,0.000859595,0.002216076,0.68163,0.0008234272,0.0002365345,0.000006230412,0.00006181002,0.005857562],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2826944,"threshold_uncertainty_score":0.9926974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5068542239147472,"score_gpt":0.5786590225673258,"score_spread":0.0718047986525786,"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."}}