{"id":"W2246974099","doi":"10.1016/j.proenv.2015.07.219","title":"Miscanthus Production in Eastern Canada as Affected by Genotypes and Nitrogen Levels","year":2015,"lang":"en","type":"article","venue":"Procedia Environmental Sciences","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Miscanthus; Dry matter; Perennial plant; Agronomy; Miscanthus sinensis; Nitrogen; Biomass (ecology); Biology; Crop; Bioenergy; Environmental science; Biofuel; Chemistry; Biotechnology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001605627,0.0003093462,0.0002078421,0.0008112449,0.001382457,0.0006101258,0.0004799014,0.0001388279,0.001088942],"category_scores_gemma":[0.0003499241,0.0001792837,0.0001767748,0.001554638,0.0004435725,0.0002079672,0.0003946736,0.0002386575,0.0001299905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01218772,"about_ca_system_score_gemma":0.007301727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9641078,"about_ca_topic_score_gemma":0.9913595,"domain_scores_codex":[0.9997837,0.00001056503,0.000008536457,0.00005720549,0.00007056414,0.000069421],"domain_scores_gemma":[0.9993241,0.00004816596,0.000104462,0.0000233399,0.0003173196,0.0001825901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001174579,0.0001652387,0.7813407,0.000123113,0.0001265406,0.0009925117,0.002523506,0.0008447218,0.1750707,0.0004041754,0.001663245,0.03557088],"study_design_scores_gemma":[0.000002562712,0.00003515454,0.9966988,0.000004087048,0.00001062914,0.00007121256,0.0006846953,0.0002062495,0.001112747,0.00001756997,0.00114785,0.000008413234],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996769,0.0003869236,0.0001523653,0.00004807118,0.000003097447,0.00001387719,0.001099233,0.00001784601,0.001509626],"genre_scores_gemma":[0.9954588,0.0003286463,0.0003917392,0.00004699264,0.000001188391,0.0000114164,0.000809904,0.00001191076,0.002939387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03589225,"threshold_uncertainty_score":0.0884285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825556599488365,"score_gpt":0.191167063042074,"score_spread":0.1729114970471903,"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."}}