{"id":"W2125503070","doi":"10.5897/ajps.9000009","title":"Agronomic, culinary, and genetic characterization of selected cowpea elite lines using farmers' and breeder's knowledge: a case study from Malawi.","year":2009,"lang":"en","type":"article","venue":"African Journal of Plant Science","topic":"Agricultural pest management studies","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Biology; Agriculture; Biotechnology; Tanzania; Crop; Selection (genetic algorithm); Habit; Agricultural science; Agronomy; Geography","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":[0.0005251374,0.0002323709,0.0001642014,0.0005378395,0.001724476,0.0007246824,0.0003874987,0.0004586326,0.0007557448],"category_scores_gemma":[0.000872856,0.0001353581,0.0001505654,0.0005651874,0.0005462442,0.0003444775,0.0006132898,0.000245626,0.0001141531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008363154,"about_ca_system_score_gemma":0.0004188134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01257834,"about_ca_topic_score_gemma":0.05239601,"domain_scores_codex":[0.9997156,0.0001149959,0.00001315495,0.00004722546,0.00004877635,0.00006032112],"domain_scores_gemma":[0.9994119,0.0002382885,0.0001437869,0.00002768721,0.00009720565,0.00008112601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002518664,0.0006533879,0.5527892,0.0004517621,0.00006231092,0.056941,0.2942899,0.0002743375,0.04700093,0.000291456,0.0004688367,0.04652505],"study_design_scores_gemma":[0.000008316319,0.0009020945,0.7129887,0.0001283116,0.00006376053,0.01305411,0.2588922,0.0005807452,0.006740187,0.0001173065,0.006489876,0.00003442104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999709,0.00005664792,0.00006119716,0.00002169709,3.890392e-7,0.000007602906,0.00001204066,4.493557e-7,0.0001310079],"genre_scores_gemma":[0.9986987,0.000189317,0.0004541723,0.00003220395,0.000001400269,0.00000815031,0.00003205968,0.000001211859,0.0005828036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01257834,"threshold_uncertainty_score":0.02501023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02120314143397044,"score_gpt":0.2330696182468376,"score_spread":0.2118664768128671,"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."}}