{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00186619,0.0003328983,0.0002228785,0.001432453,0.001454013,0.004375021,0.0005704277,0.001434246,0.01868039],"category_scores_gemma":[0.001225962,0.0001026977,0.0002222501,0.001696147,0.001610616,0.002068666,0.002992035,0.001350916,0.003207331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550397,"about_ca_system_score_gemma":0.002635688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003137163,"about_ca_topic_score_gemma":0.01065052,"domain_scores_codex":[0.9994648,0.0002232796,0.00001889057,0.00005874754,0.0001553042,0.00007895655],"domain_scores_gemma":[0.9993382,0.000197206,0.00007842383,0.00004249548,0.0001228598,0.000220852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007731331,0.000202283,0.007522491,0.001544163,0.000020915,0.0004275331,0.002162379,0.0003741865,0.005354676,0.1166654,0.0458048,0.8198439],"study_design_scores_gemma":[0.00001058377,0.0000908774,0.01242227,0.001557368,0.00002657486,0.0007129578,0.003159072,0.0002022838,0.001346273,0.04356194,0.9368907,0.00001910024],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0307973,0.1784001,0.006955355,0.08997764,0.001758356,0.0001438336,0.0003442172,0.0001659284,0.6914573],"genre_scores_gemma":[0.3907164,0.3356403,0.03064174,0.02145445,0.002440929,0.0002074544,0.0004330993,0.0001366135,0.2183291],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01868039,"threshold_uncertainty_score":0.06249213,"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."}}