{"id":"W2841514744","doi":"10.1515/opag-2018-0020","title":"Agro-ecological distribution of the phenotypic diversity of aerial yam (Dioscorea bulbifera L.) in Cameroon using multivariate analysis: prospect for germplasm conservation and improvement","year":2018,"lang":"en","type":"article","venue":"Open Agriculture","topic":"Potato Plant Research","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Germplasm; Biology; Crop; Genetic diversity; Dioscorea; Mahalanobis distance; Multivariate statistics; Distribution (mathematics); Geography; Ecology; Agronomy; Statistics; Demography; Mathematics","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":[0.0003974921,0.0002257872,0.0001466579,0.0008232962,0.0002118961,0.0002483475,0.00007557995,0.0000701398,0.0009044266],"category_scores_gemma":[0.000334517,0.00006720494,0.0001564253,0.0008456837,0.0001939811,0.0001022186,0.0001502225,0.0001100036,0.00005888977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001953632,"about_ca_system_score_gemma":0.0001152677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009602611,"about_ca_topic_score_gemma":0.01474122,"domain_scores_codex":[0.9998783,0.00005192823,0.000006103159,0.00003026954,0.00001119926,0.0000222427],"domain_scores_gemma":[0.9997485,0.00008552638,0.00008142475,0.00001804218,0.00003581512,0.00003056857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002540309,0.00003534902,0.9623967,0.00002652754,0.0000589285,0.000142423,0.0003787219,0.0003416491,0.02085372,0.0000704334,0.0001086447,0.01533277],"study_design_scores_gemma":[0.000001493492,0.0000291975,0.9985885,0.000004417443,0.000008064053,0.00004764996,0.0002516837,0.0006700066,0.0003003785,0.00001446124,0.00008182202,0.000002277092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995393,0.00004577062,0.0002672034,0.000007985425,0.000001049742,0.000002038758,0.00007902843,0.000001860748,0.0000557416],"genre_scores_gemma":[0.9994942,0.00002527782,0.0003337453,0.000001713381,7.73364e-7,0.00000194412,0.00009578164,7.034592e-7,0.0000458855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009602611,"threshold_uncertainty_score":0.01909345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0371323218907194,"score_gpt":0.2762012946348258,"score_spread":0.2390689727441064,"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."}}