{"id":"W3141165076","doi":"","title":"Rural Organizations, Agricultural Technologies and Production Efficiency of Teff in Ethiopia","year":2015,"lang":"en","type":"article","venue":"2015 Conference, August 9-14, 2015, Milan, Italy","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Inefficiency; Production (economics); Agriculture; Agricultural economics; Service (business); Variable (mathematics); Economics; Production efficiency; Business; Agricultural engineering; Mathematics; Geography; Economy; Microeconomics; Engineering","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":[0.001163557,0.0002822767,0.0002436987,0.001998125,0.0003950418,0.001309432,0.000250483,0.0002566639,0.001823343],"category_scores_gemma":[0.002013815,0.0001487596,0.000203993,0.002509117,0.0005248639,0.0007074084,0.0006271322,0.0002318716,0.0002470512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001026999,"about_ca_system_score_gemma":0.0003631867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005702916,"about_ca_topic_score_gemma":0.008265858,"domain_scores_codex":[0.9995236,0.0002117905,0.00001850139,0.00005128391,0.00004402655,0.0001508185],"domain_scores_gemma":[0.997413,0.001178939,0.000937797,0.00009687116,0.0001900506,0.0001835181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001344655,0.0002128726,0.9606788,0.00006320143,0.0001200043,0.0005421722,0.001154051,0.01546196,0.00185507,0.005855075,0.0002587394,0.01366363],"study_design_scores_gemma":[0.00001972171,0.0001655108,0.9798343,0.0000509361,0.00005384569,0.000264423,0.00554416,0.008600411,0.001419638,0.002250071,0.001781338,0.00001571793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981399,0.0001267081,0.000367844,0.00002984369,6.866763e-7,0.000004423719,0.0001105822,0.000001660063,0.00121834],"genre_scores_gemma":[0.9992804,0.0001114637,0.0002332194,0.00000733873,0.000001931074,0.000004709938,0.0000704296,0.000001155396,0.0002893684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005702916,"threshold_uncertainty_score":0.01133943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983253906389289,"score_gpt":0.2453417993282685,"score_spread":0.2255092602643756,"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."}}