{"id":"W1916502630","doi":"10.5376/mpb.2011.02.0011","title":"NERICA: A Hope for Fighting Hunger and Poverty in Africa","year":2011,"lang":"en","type":"article","venue":"Molecular Plant Breeding","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Biology; Biotechnology; Development economics; Economic growth; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002553067,0.0008243871,0.0004506095,0.0006877679,0.002676421,0.004867854,0.0007855854,0.003244369,0.01018402],"category_scores_gemma":[0.002550524,0.0002259101,0.0004807395,0.0005401856,0.003037058,0.006974213,0.00466072,0.006268916,0.002867127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562215,"about_ca_system_score_gemma":0.004975252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002150125,"about_ca_topic_score_gemma":0.003317128,"domain_scores_codex":[0.9994144,0.0001433052,0.00001775777,0.00005957244,0.0001027516,0.000262272],"domain_scores_gemma":[0.9981322,0.0003181467,0.00008638301,0.00008422373,0.0002577175,0.001121315],"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":[0.0003211964,0.0001670877,0.001363588,0.001331688,0.0000560848,0.001529239,0.004261043,0.0002589658,0.00453986,0.127486,0.6167236,0.2419618],"study_design_scores_gemma":[0.00005054022,0.0001063685,0.0007433528,0.0005691532,0.00002287538,0.0004004879,0.002321679,0.0001027634,0.0008919536,0.02184464,0.9729212,0.00002512201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01911907,0.2404013,0.006129979,0.5526382,0.04507748,0.0001501324,0.0005047026,0.001083781,0.1348954],"genre_scores_gemma":[0.2774279,0.2050139,0.01492331,0.2478579,0.01414018,0.0002819461,0.0009671394,0.0005632028,0.2388244],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01018402,"threshold_uncertainty_score":0.03406894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07445290376226844,"score_gpt":0.2182519734675286,"score_spread":0.1437990697052602,"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."}}