{"id":"W2077663631","doi":"10.1007/s10460-004-7234-z","title":"A case study of cash cropping in Nepal: Poverty alleviation or inequity?","year":2005,"lang":"en","type":"article","venue":"Agriculture and Human Values","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"International Development Research Centre","keywords":"Gross margin; Cash crop; Cropping; Agricultural economics; Poverty; Agriculture; Revenue; Economics; Commercialization; Business; Production (economics); Agricultural science; Economic growth; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000224764,0.0000987375,0.0001558001,0.0001162083,0.0001709143,0.0001009286,0.00005466321,0.00004298307,0.000109621],"category_scores_gemma":[0.0000124279,0.00006495228,0.00001736502,0.0001609687,0.0000128494,0.0005252552,0.00006645621,0.00006962283,0.00001096422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003239247,"about_ca_system_score_gemma":0.000006835648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001532554,"about_ca_topic_score_gemma":0.008418687,"domain_scores_codex":[0.9993538,0.000008282077,0.0002986946,0.0001489446,0.00008364228,0.0001066856],"domain_scores_gemma":[0.9996843,0.00001007653,0.0001491068,0.00006222889,0.00008888516,0.000005341589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001473703,0.00453238,0.5852485,0.0008249075,0.0004556686,0.00131553,0.09429918,0.0004925787,0.002755525,0.1281041,0.140201,0.04162319],"study_design_scores_gemma":[0.005861238,0.000139982,0.7827929,0.0001258943,0.0001202767,0.0001622367,0.08986657,0.0007119642,0.0000609267,0.001306354,0.1179574,0.0008942573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940025,0.00001517922,0.000003727681,0.0003256366,0.0000519741,0.0002446229,3.459386e-7,0.00002720906,0.005328868],"genre_scores_gemma":[0.9968867,0.00000241683,0.00007046606,0.001345712,0.0003768351,0.00001198616,0.00001170813,0.000005121676,0.001289015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1975444,"threshold_uncertainty_score":0.4697825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03618680469442404,"score_gpt":0.2669696570821584,"score_spread":0.2307828523877343,"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."}}