{"id":"W3194903005","doi":"10.1108/jadee-06-2021-0147","title":"Analyzing the impact of the COVID-19 pandemic on vegetable market supply in Northwestern Ethiopia","year":2021,"lang":"en","type":"article","venue":"Journal of Agribusiness in Developing and Emerging Economies","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Business; Livelihood; Pandemic; Scarcity; Agricultural economics; Market access; Distribution (mathematics); Marketing channel; Government (linguistics); Agriculture; Supply and demand; Economic growth; Marketing; Coronavirus disease 2019 (COVID-19); Economics; Geography; Market economy","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":[0.0005257078,0.0002045555,0.0001312819,0.000607838,0.0004889978,0.0007804686,0.0002715116,0.0002322477,0.002369483],"category_scores_gemma":[0.000993157,0.0001105929,0.0001565068,0.0008051256,0.000267654,0.0005841692,0.0005825757,0.0003302314,0.0001587355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253939,"about_ca_system_score_gemma":0.001100179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01592832,"about_ca_topic_score_gemma":0.02305334,"domain_scores_codex":[0.9997116,0.0000864477,0.00001843942,0.0000428101,0.00004383109,0.00009677013],"domain_scores_gemma":[0.9990442,0.0002721828,0.0003724432,0.00002370836,0.0001735586,0.0001138818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009347837,0.0001669174,0.9758669,0.0001731961,0.00004805883,0.001564292,0.004845706,0.001030472,0.001327252,0.0006298809,0.0006512404,0.01360268],"study_design_scores_gemma":[0.000002529745,0.000178867,0.9345095,0.0001079706,0.00002956502,0.0003307907,0.05744172,0.002333711,0.001133139,0.0003043591,0.003614414,0.00001339318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984444,0.00007830811,0.0001474793,0.00009270505,0.00000370168,0.00001449129,0.00021736,0.00000166614,0.000999947],"genre_scores_gemma":[0.9988954,0.0001274267,0.0002518064,0.00003279388,0.000003470507,0.00001262009,0.0001449207,0.000001460583,0.0005299571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01592832,"threshold_uncertainty_score":0.03167123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05280132771006861,"score_gpt":0.2986887544687715,"score_spread":0.2458874267587029,"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."}}