{"id":"W1976058145","doi":"10.1016/j.anifeedsci.2012.07.024","title":"Effects of water soluble carbohydrate content on ensiling characteristics, chemical composition and in vitro gas production of forage millet and forage sorghum silages","year":2012,"lang":"en","type":"article","venue":"Animal Feed Science and Technology","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Forage; Sorghum; Neutral Detergent Fiber; Dry matter; Agronomy; Cultivar; Biology; Silage; Sweet sorghum; Composition (language); Chemistry; Fermentation; Fodder; Food science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002923283,0.0005216601,0.0003467117,0.0002868667,0.0002789047,0.000571512,0.0001766927,0.0002842075,0.0009596971],"category_scores_gemma":[0.0005493433,0.000326716,0.0003264557,0.0002691356,0.0004838002,0.0004532164,0.0002850553,0.000539933,0.0001351706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005166312,"about_ca_system_score_gemma":0.0003590134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002713984,"about_ca_topic_score_gemma":0.003863613,"domain_scores_codex":[0.999798,0.00006412346,0.00002633816,0.00003876868,0.00002387212,0.00004895616],"domain_scores_gemma":[0.9992394,0.0003532341,0.0001101666,0.00003149846,0.00005085735,0.0002147463],"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":[0.009986685,0.0001519828,0.003304744,0.00006779275,0.00005308477,0.00009471989,0.0001337061,0.0002433468,0.9847734,0.00005043794,0.00001944711,0.001120682],"study_design_scores_gemma":[0.0001017062,0.004310449,0.0821467,0.00001595415,0.0001565208,0.0001298727,0.0003008994,0.001382972,0.9107499,0.00008566298,0.0005948487,0.00002451493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996264,0.000102886,0.00006466085,0.000007645787,0.000004630488,0.000002207215,0.00006064051,0.000001785444,0.0001292332],"genre_scores_gemma":[0.9989581,0.0000768421,0.0001778635,0.00001814923,0.000004924481,0.000004572722,0.0001899372,0.000006722557,0.0005627843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002713984,"threshold_uncertainty_score":0.005396366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317387894672046,"score_gpt":0.208761824551915,"score_spread":0.1955879456051946,"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."}}