{"id":"W1543535808","doi":"10.1002/9781118460566.ch1","title":"Plant Diversity in Addressing Food, Nutrition and Medicinal Needs","year":2014,"lang":"en","type":"other","venue":"","topic":"Seed and Plant Biochemistry","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Food security; Diversity (politics); Livelihood; Biodiversity; Agricultural biodiversity; Crop diversity; Plant diversity; Agroforestry; Business; Convention on Biological Diversity; Geography; Agriculture; Biotechnology; Environmental planning; Environmental resource management; Biology; Ecology; Political science; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005608767,0.00008848766,0.0001213202,0.00001631401,0.00004752692,0.00001357105,0.00007756155,0.0002012895,0.001676873],"category_scores_gemma":[0.00000508881,0.00003027989,0.0000169764,0.00006581774,0.00002861697,0.000008894523,0.00006960685,0.00008466243,0.000007697803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004760653,"about_ca_system_score_gemma":0.00000120804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008821931,"about_ca_topic_score_gemma":0.002063387,"domain_scores_codex":[0.9996159,0.00001478545,0.00005420295,0.0001241025,0.00008867613,0.0001023258],"domain_scores_gemma":[0.9998537,0.00004464891,0.00003723416,0.00001577467,0.000003068091,0.00004551938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004054828,0.0001044172,0.03194511,0.0002752831,0.00002522528,0.00001848143,0.00007406325,1.681438e-8,0.02294155,0.0001722605,0.9078568,0.03654629],"study_design_scores_gemma":[0.0005144248,0.0001931316,0.02813604,0.00150671,0.00002268882,0.0000436943,0.0007387194,0.0000123817,0.001033313,0.0001873579,0.9671491,0.0004624072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2801514,0.002432432,0.000001100455,0.000483083,0.000150847,0.0001791114,0.0004538547,0.0001234116,0.7160248],"genre_scores_gemma":[0.9032114,0.0007588256,0.00003279716,0.0003787948,0.001278851,0.000003247083,0.001032512,0.000003234244,0.0933004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6230599,"threshold_uncertainty_score":0.9992357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04269625542684027,"score_gpt":0.2053407469107799,"score_spread":0.1626444914839396,"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."}}