{"id":"W2161090062","doi":"10.1016/j.anifeedsci.2010.02.010","title":"Drying procedures affect non-structural carbohydrates and other nutritive value attributes in forage samples","year":2010,"lang":"en","type":"article","venue":"Animal Feed Science and Technology","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":112,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Fructan; Forage; Fructose; Sucrose; Rumen; Starch; Chemistry; Carbohydrate; Food science; Dry matter; Phleum; Ruminant; Animal science; Fermentation; Botany; Agronomy; Biology; Biochemistry; Pasture","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002434233,0.0001399835,0.0002001636,0.0001217495,0.0003837108,0.00007169921,0.0002418715,0.0001590146,0.00001345315],"category_scores_gemma":[0.000384111,0.00006232743,0.00001757166,0.001106648,0.001547387,0.0002197718,0.0001623048,0.0002272944,0.000002447253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001073039,"about_ca_system_score_gemma":0.00002572011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003030371,"about_ca_topic_score_gemma":0.001119582,"domain_scores_codex":[0.9988866,0.0000162246,0.0001327507,0.0004496179,0.000115014,0.0003997609],"domain_scores_gemma":[0.9995756,0.0001515725,0.00005213337,0.00004621491,0.0001023771,0.00007214219],"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":[0.00001846595,0.00001746289,0.1570141,0.000005418484,0.000001242946,0.00000390089,0.00003380169,2.850773e-8,0.8267519,0.01374993,0.00001038224,0.002393313],"study_design_scores_gemma":[0.0002332821,0.0005141238,0.8072675,0.0000284714,0.000003400567,0.00006836405,0.0006718428,0.0001365373,0.1765034,0.01401158,0.0003755912,0.0001858435],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961327,0.0001602838,3.314906e-7,0.003178205,0.00004115139,0.0002247352,0.00002192745,0.00006407226,0.0001765468],"genre_scores_gemma":[0.9995548,0.00003438349,0.0001336955,0.0001922262,0.00004711985,0.00002786816,0.000003441259,0.000001014354,0.000005465681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6502534,"threshold_uncertainty_score":0.570141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327673124336894,"score_gpt":0.2470000867434838,"score_spread":0.2337233555001149,"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."}}