{"id":"W4214680792","doi":"10.1007/s10708-022-10586-8","title":"COVID-19 pandemic: Ghana and the geographies of blame","year":2022,"lang":"en","type":"article","venue":"GeoJournal","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Wilfrid Laurier University","funders":"","keywords":"Blame; Pandemic; Government (linguistics); Coronavirus disease 2019 (COVID-19); Human geography; Public health; Political science; Economic growth; Development economics; Public relations; Sociology; Economics; Medicine; Social science; Psychology; Social psychology; Nursing","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":[0.0009660996,0.0002133462,0.0002422582,0.00108123,0.0008779768,0.003087764,0.0003325437,0.002228202,0.01659472],"category_scores_gemma":[0.01006355,0.0001496525,0.0001456024,0.003823157,0.001635557,0.003715328,0.0009003862,0.002644255,0.000519672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005033849,"about_ca_system_score_gemma":0.003510347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1433778,"about_ca_topic_score_gemma":0.1943147,"domain_scores_codex":[0.9996431,0.0001889744,0.00000921738,0.00002103145,0.00005657929,0.00008107067],"domain_scores_gemma":[0.9949003,0.00233736,0.001535401,0.0001046262,0.000575059,0.0005471896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000414423,0.0001575762,0.1837649,0.0004656092,0.0001014028,0.002526018,0.004924454,0.008289003,0.000241504,0.4370502,0.3058757,0.05618922],"study_design_scores_gemma":[0.0001134079,0.0001776081,0.2510411,0.002253937,0.0001450953,0.0008000301,0.07364324,0.02036678,0.0004656265,0.2888143,0.362041,0.0001378773],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2984137,0.03632978,0.002458729,0.5478901,0.00175903,0.00005134238,0.006823389,0.00005905883,0.1062149],"genre_scores_gemma":[0.97773,0.01050494,0.0002328609,0.002645529,0.0004610097,0.00001534714,0.0004264252,0.00002069125,0.007963224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1433778,"threshold_uncertainty_score":0.2850864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05863763750568327,"score_gpt":0.2689234124824652,"score_spread":0.2102857749767819,"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."}}