{"id":"W4386036595","doi":"10.1007/978-3-031-32164-1_9","title":"Digitalization of What We Eat and How We Think in Africa Post-COVID-19","year":2023,"lang":"en","type":"book-chapter","venue":"International political economy series","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Capitalism; Agriculture; Politics; Coronavirus disease 2019 (COVID-19); Consumption (sociology); Political science; Agricultural development; Value (mathematics); Agricultural education; Economic growth; Process (computing); Geography; Sociology; Social science; Economics; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001709406,0.0002185097,0.0002924236,0.0005688254,0.00004955627,0.0006893086,0.0001974479,0.0001717422,0.0006025396],"category_scores_gemma":[0.0001485618,0.0002352003,0.00006963914,0.00003724492,0.0001931721,0.00242379,0.0002249175,0.0001287372,0.0001801625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002521232,"about_ca_system_score_gemma":0.0001182043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003348941,"about_ca_topic_score_gemma":0.00007221955,"domain_scores_codex":[0.998934,0.000003031741,0.0004236912,0.0002924253,0.0001273504,0.0002194457],"domain_scores_gemma":[0.999292,0.00009252338,0.0002518473,0.0001104422,0.0002213638,0.00003188974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001865136,0.000008875871,0.0001708376,0.0001895427,0.00006287924,0.000008003498,0.0001897963,0.000003285834,4.568488e-7,0.9949029,0.003686659,0.0007581258],"study_design_scores_gemma":[0.0001623886,0.000004034023,0.00009865431,0.00009886019,0.000006246388,0.000001824672,0.0007769066,0.00007512568,0.000001758943,0.4228559,0.5757647,0.000153609],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001914774,0.00007026833,0.00005028888,0.2050684,0.000903391,0.0001961782,0.00004536933,0.0000696394,0.793405],"genre_scores_gemma":[0.2763267,0.0006529288,0.0001561106,0.02638687,0.00189206,0.00005805853,0.001361134,0.0001378922,0.6930283],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.572078,"threshold_uncertainty_score":0.9591191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03190832495497658,"score_gpt":0.2391548174621823,"score_spread":0.2072464925072057,"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."}}