{"id":"W2626399807","doi":"10.6000/1927-5129.2017.13.49","title":"Forage Yield and Quality of Sweet Sorghum as Influenced by Sowing Methods and Harvesting Times","year":2017,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sowing; Dry matter; Sorghum; Forage; Agronomy; Sweet sorghum; Fodder; Yield (engineering); Sugar; Mathematics; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003124008,0.00008710671,0.0002229265,0.00002098509,0.0006660562,0.0002557587,0.0003340952,0.00004101133,0.00008016848],"category_scores_gemma":[0.0003573008,0.0000342996,0.00004062291,0.00009713018,0.0005850618,0.0003778001,0.0001524049,0.00009807261,8.050564e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005538361,"about_ca_system_score_gemma":0.00001293792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002378089,"about_ca_topic_score_gemma":0.00005281868,"domain_scores_codex":[0.9989966,0.00005187101,0.0003455969,0.0001953087,0.0002607735,0.0001498064],"domain_scores_gemma":[0.9989173,0.0002028702,0.0006832161,0.00005667509,0.00005612869,0.00008385238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001594581,0.00001937736,0.001829919,0.000009077252,0.00001054328,4.274996e-7,0.0000994484,0.000004280857,0.8189437,0.003091649,0.0003032905,0.1756723],"study_design_scores_gemma":[0.0007561533,0.001206512,0.3430724,0.0001843592,0.00007785012,0.00004548505,0.008352013,0.00008927638,0.5909488,0.01610394,0.03856491,0.000598245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894958,0.0002974464,0.0001113752,0.002648931,0.0001120261,0.0000610591,0.000001337704,0.000006350662,0.007265642],"genre_scores_gemma":[0.9952559,0.00009719186,0.003953107,0.000212868,0.00008784164,0.000001139457,1.842152e-7,4.375355e-7,0.0003913372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3412426,"threshold_uncertainty_score":0.5122833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06945276415406007,"score_gpt":0.3422344885549993,"score_spread":0.2727817244009393,"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."}}