{"id":"W1141261102","doi":"10.1007/s10113-015-0851-9","title":"Assessing links between crop diversity and food self-sufficiency in three agroecological regions of Nepal","year":2015,"lang":"en","type":"article","venue":"Regional Environmental Change","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Crop diversity; Agroecology; Agricultural diversification; Agricultural biodiversity; Diversity (politics); Agroforestry; Crop; Geography; Food security; Agricultural economics; Agriculture; Environmental science; Economics; Forestry","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":[0.000519219,0.0002238594,0.0002511264,0.001370806,0.000625926,0.0008284883,0.0004964325,0.0003553373,0.000644226],"category_scores_gemma":[0.001659721,0.0002268372,0.0003404701,0.001363494,0.0007996823,0.0005464921,0.001119268,0.0003586694,0.0001054356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009919963,"about_ca_system_score_gemma":0.0007105698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05582593,"about_ca_topic_score_gemma":0.1026713,"domain_scores_codex":[0.999663,0.0001268762,0.00002360054,0.00007405203,0.00002995981,0.00008252745],"domain_scores_gemma":[0.9985716,0.0007752139,0.0002945334,0.00006930464,0.0001562193,0.0001331109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009206924,0.00004849039,0.9909793,0.00003327053,0.0001586107,0.0003422143,0.002638747,0.0004454626,0.001081997,0.0001661434,0.00004155042,0.003972142],"study_design_scores_gemma":[0.000003895192,0.00005572807,0.9954188,0.000008971985,0.00004129814,0.0001343834,0.003250104,0.0006678822,0.0001792534,0.0000614758,0.0001715699,0.000006756444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995552,0.00002629289,0.00004950185,0.000008321918,2.564627e-7,0.000003672161,0.0000708329,0.000001003629,0.0002848967],"genre_scores_gemma":[0.9997447,0.00001745469,0.00008136551,0.000004545099,3.658216e-7,0.000007948806,0.00007489155,4.169038e-7,0.00006832779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05582593,"threshold_uncertainty_score":0.111002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2288345002235064,"score_gpt":0.2750698859283837,"score_spread":0.04623538570487726,"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."}}