{"id":"W4401670413","doi":"10.1016/j.techfore.2024.123630","title":"Emerging digital technologies potential in promoting equitable agricultural supply chain: A scoping review","year":2024,"lang":"en","type":"review","venue":"Technological Forecasting and Social Change","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Supply chain; Business; Agriculture; Emerging technologies; Industrial organization; Natural resource economics; Environmental planning; Environmental economics; Environmental resource management; Computer science; Economics; Environmental science; Geography; Marketing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002518846,0.0009900654,0.001670268,0.0051678,0.0004762253,0.003277478,0.0008314244,0.00195863,0.00503808],"category_scores_gemma":[0.006029946,0.0004034865,0.001318673,0.005929279,0.0008003608,0.003064462,0.001174642,0.00134613,0.0006257193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190925,"about_ca_system_score_gemma":0.004744765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003863767,"about_ca_topic_score_gemma":0.006903397,"domain_scores_codex":[0.9993138,0.0001673741,0.0001326953,0.0001176199,0.0002171709,0.00005124577],"domain_scores_gemma":[0.994255,0.004731093,0.0003762369,0.00006452313,0.0005010527,0.00007215905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00008313666,0.00008274212,0.0005582356,0.1690132,0.0004076682,0.0001748753,0.000302866,0.0005118109,0.0006461023,0.008222993,0.006317593,0.8136787],"study_design_scores_gemma":[0.00005194858,0.0002121548,0.00274614,0.2971222,0.003701361,0.0009668611,0.00123892,0.0005523908,0.0009625352,0.007861455,0.6845107,0.00007326993],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001660485,0.9988416,0.0001191712,0.000211198,0.0000710041,0.000009491368,0.00002027915,0.000002264348,0.0005589676],"genre_scores_gemma":[0.001202783,0.998304,0.0002081908,0.0001024781,0.00005068579,0.000009831982,0.00001480349,7.624629e-7,0.0001063216],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0051678,"threshold_uncertainty_score":0.01685405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1119507296204736,"score_gpt":0.3145428825021523,"score_spread":0.2025921528816788,"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."}}