{"id":"W2900376370","doi":"10.5539/jas.v10n12p148","title":"Selection of Elephant-Grass Genotypes for Forage Production","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil Management and Crop Yield","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dry matter; Biology; Forage; Dry season; Wet season; Pennisetum purpureum; Completely randomized design; Agronomy; Animal science; Horticulture; Veterinary medicine; Ecology","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":[0.0002763884,0.0002816205,0.0003832834,0.00052653,0.000231836,0.0002490133,0.000184183,0.0001434548,0.001124419],"category_scores_gemma":[0.000255129,0.00009547918,0.0001850686,0.0003623791,0.000104576,0.000142863,0.0002212073,0.000128745,0.0002097471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001871728,"about_ca_system_score_gemma":0.000145917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009063123,"about_ca_topic_score_gemma":0.004006876,"domain_scores_codex":[0.9998573,0.0000345693,0.00001085657,0.00004787759,0.00002727081,0.0000220907],"domain_scores_gemma":[0.9998837,0.00002619385,0.00002856481,0.00001156898,0.00001373061,0.0000362657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007434204,0.0001329651,0.05794163,0.00006539202,0.00007630431,0.0005893052,0.0002463655,0.0001219311,0.9273427,0.00007450639,0.0000657462,0.01259984],"study_design_scores_gemma":[0.00006332023,0.0008156148,0.9669595,0.00001977774,0.0001041969,0.001089152,0.0005134084,0.0007326627,0.02665064,0.00008235455,0.002951683,0.00001756965],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994985,0.00006990904,0.0001221074,0.000006314849,0.00000175786,0.000007182448,0.00005171817,0.000004688297,0.0002378017],"genre_scores_gemma":[0.9962303,0.0001551002,0.001975825,0.00003064234,0.000006103679,0.00002034352,0.0005184237,0.00002026873,0.001043051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001124419,"threshold_uncertainty_score":0.00376153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621890547873822,"score_gpt":0.23299191530237,"score_spread":0.2167730098236318,"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."}}