{"id":"W2071903839","doi":"10.1007/s13593-013-0147-8","title":"Agrobiodiversity for food security, health and income","year":2013,"lang":"en","type":"article","venue":"Agronomy for Sustainable Development","topic":"Seed and Plant Biochemistry","field":"Agricultural and Biological Sciences","cited_by":270,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Food security; Agriculture; Sustainability; Business; Food systems; Natural resource economics; Sustainable agriculture; Prosperity; Agricultural productivity; Agricultural biodiversity; Population; Poverty; Agricultural diversification; Diversification (marketing strategy); Economic growth; Economics; Geography; Ecology","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":[0.0005598859,0.0003209646,0.000180588,0.0005506069,0.0006919677,0.001460535,0.0002666393,0.0009920727,0.03654625],"category_scores_gemma":[0.0007063887,0.00006781052,0.0001432346,0.0004998275,0.0009303139,0.0009029575,0.001992268,0.001037511,0.003938216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259742,"about_ca_system_score_gemma":0.001490618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009672643,"about_ca_topic_score_gemma":0.002189461,"domain_scores_codex":[0.9998332,0.00004509717,0.000005649776,0.00003279069,0.00004002925,0.00004315313],"domain_scores_gemma":[0.9995471,0.00005656792,0.00006841469,0.00005075854,0.00007969075,0.000197446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004342835,0.0002634512,0.01820716,0.0006115268,0.00007832628,0.0006023311,0.0005752227,0.00024868,0.05827339,0.3828956,0.06212095,0.4756891],"study_design_scores_gemma":[0.00004556999,0.0002350784,0.02875859,0.0003979756,0.00003656522,0.001065979,0.0008376059,0.0001809239,0.007664509,0.08460951,0.8761526,0.00001501555],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1203772,0.1608272,0.005918792,0.1276343,0.00314929,0.00008062917,0.001284649,0.0003010248,0.5804269],"genre_scores_gemma":[0.7902014,0.05507819,0.007897032,0.008470684,0.00144936,0.0000973713,0.0006627887,0.00007390485,0.1360693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03654625,"threshold_uncertainty_score":0.1222594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036111923222777,"score_gpt":0.1850584328506865,"score_spread":0.1746973136184588,"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."}}