{"id":"W2021833414","doi":"10.1007/s12155-014-9558-x","title":"Response to Nitrogen of Sweet Pearl Millet and Sweet Sorghum Grown for Ethanol in Eastern Canada","year":2014,"lang":"en","type":"article","venue":"BioEnergy Research","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Agriculture and Agri-Food Canada; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pennisetum; Sweet sorghum; Agronomy; Dry matter; Loam; Sorghum; Chemistry; Fertilizer; Animal science; Biology; Soil water","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002087641,0.000100474,0.0001575475,0.00007257134,0.0001185295,0.00003926252,0.000261922,0.00007322273,0.00005992517],"category_scores_gemma":[0.0003471279,0.00004655998,0.00003086907,0.0004403487,0.0001085742,0.00003543071,0.0002182485,0.00009347854,0.000003507717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004874347,"about_ca_system_score_gemma":0.00005112936,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2993472,"about_ca_topic_score_gemma":0.5082309,"domain_scores_codex":[0.9981476,0.000543987,0.0001928322,0.0003603258,0.0003619683,0.0003932983],"domain_scores_gemma":[0.9991565,0.0003947204,0.00003215445,0.0001033294,0.0001564782,0.0001568638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002798726,0.0002120222,0.00904528,0.0000688163,0.00004369913,0.000009681359,0.0003015317,0.000061451,0.796527,0.00572505,0.05143415,0.1337726],"study_design_scores_gemma":[0.0003865903,0.0007039966,0.02558929,0.00002597358,0.000002529287,0.000002438867,0.0006757265,0.0001328819,0.02860481,0.0004270828,0.9432811,0.0001675948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788308,0.00009334589,0.000008558105,0.01978549,0.00007448593,0.0002331024,0.00002226598,0.00001162994,0.0009403025],"genre_scores_gemma":[0.9950853,0.00002867045,0.0001137163,0.0003468437,0.0001181404,0.00007357469,0.0000154859,0.00000191166,0.004216338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.891847,"threshold_uncertainty_score":0.7053185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05415037554797567,"score_gpt":0.2912650673113727,"score_spread":0.237114691763397,"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."}}