{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001420021,0.0004432094,0.0003125154,0.002935327,0.001046008,0.002404521,0.0003721002,0.0004982238,0.005291002],"category_scores_gemma":[0.003537664,0.0002794448,0.0003187997,0.005863418,0.0010156,0.001623471,0.001281276,0.0009410818,0.0003531552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00205526,"about_ca_system_score_gemma":0.002388238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01637272,"about_ca_topic_score_gemma":0.02400324,"domain_scores_codex":[0.9994988,0.0002072833,0.00003198778,0.00005326685,0.00008952128,0.0001192171],"domain_scores_gemma":[0.992344,0.005275379,0.001416702,0.0001002698,0.0004779982,0.0003856147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003447041,0.00056089,0.7545733,0.005077699,0.0007176438,0.003145601,0.01176806,0.001080421,0.0002839575,0.04377539,0.01311138,0.1655609],"study_design_scores_gemma":[0.00005103132,0.0002119161,0.8543947,0.009304385,0.0006254549,0.000967299,0.05950345,0.0007256946,0.0005298699,0.006732329,0.06690587,0.00004802153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7789502,0.1672282,0.0006573447,0.007979202,0.0001685633,0.00007388565,0.002960435,0.000006585469,0.04197569],"genre_scores_gemma":[0.8942009,0.1025219,0.0004166166,0.0007751884,0.00006809991,0.00003492695,0.0005363183,0.00000382369,0.001442198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01637272,"threshold_uncertainty_score":0.03255481,"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."}}