{"id":"W7006416305","doi":"","title":"Technology, value chains, and development: Evidence from Ethiopia.","year":2019,"lang":"en","type":"article","venue":"Lirias (KU Leuven)","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Quarter (Canadian coin); Agriculture; Value chain; Crop; Chain (unit); Supply chain","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004351471,0.00023622,0.0003026589,0.0001893165,0.0002338961,0.0002694341,0.0003434874,0.0002665987,0.0001320139],"category_scores_gemma":[0.0005921205,0.0002243339,0.00005470232,0.0004873606,0.0001334503,0.001134297,0.0003071977,0.0002852817,0.000584521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001130315,"about_ca_system_score_gemma":0.00009407292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001927402,"about_ca_topic_score_gemma":0.0001447794,"domain_scores_codex":[0.9985349,0.00002130394,0.0002806004,0.0004475812,0.0002717165,0.0004438594],"domain_scores_gemma":[0.9992568,0.00009991058,0.0001449055,0.000338781,0.0001315993,0.00002803617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001222395,0.0002144113,0.8698031,0.0007368379,0.0001725235,0.00004311805,0.004737148,0.00006693594,0.0005439395,0.07701705,0.001775724,0.04476692],"study_design_scores_gemma":[0.002618378,0.00007846191,0.5536757,0.00102143,0.0001800889,0.000004137324,0.02730097,0.001110283,0.0004329089,0.08016109,0.3316654,0.00175125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890748,0.0009422792,0.00007757334,0.004813396,0.0006735687,0.0004102576,0.000003669008,0.0002702624,0.003734218],"genre_scores_gemma":[0.9966456,0.00003893216,0.0004020862,0.001701214,0.0005526652,0.00001204892,0.00001675804,0.00002448506,0.000606169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3298897,"threshold_uncertainty_score":0.9148071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02808475191375758,"score_gpt":0.2619191725335041,"score_spread":0.2338344206197465,"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."}}