{"id":"W2944427891","doi":"","title":"Comparative forage yield and species composition of “poor” versus “good” condition grass stands under different soil fertility regimes in northeastern Saskatchewan","year":2007,"lang":"en","type":"article","venue":"","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Forage; Agronomy; Yield (engineering); Fertility; Composition (language); Soil fertility; Environmental science; Mathematics; Forestry; Geography; Biology; Agroforestry; Soil water; Ecology; Population; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003807033,0.0002073462,0.0002812216,0.001037249,0.0008552403,0.0005351008,0.0004781097,0.0001986916,0.00123068],"category_scores_gemma":[0.0004297911,0.0002465178,0.0002283259,0.001268354,0.0008160305,0.0002987712,0.0005810681,0.0002237112,0.0002315762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003342327,"about_ca_system_score_gemma":0.002604539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7041401,"about_ca_topic_score_gemma":0.9278289,"domain_scores_codex":[0.9997934,0.00003763744,0.00001652172,0.00005310884,0.00003061572,0.00006866335],"domain_scores_gemma":[0.9994226,0.00008587791,0.00009987754,0.00003298242,0.0001745667,0.0001842644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008107758,0.00009357407,0.9700536,0.00003190354,0.0001910621,0.0003146641,0.002115488,0.0002869044,0.02033942,0.0001649773,0.0002750384,0.00532269],"study_design_scores_gemma":[0.000003690613,0.00002150591,0.9986249,0.000003066821,0.00001200883,0.00003117481,0.0009049984,0.00008979753,0.0002077763,0.00001502202,0.00008226262,0.000003881568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995759,0.00002048534,0.00002465663,0.000005935399,6.521251e-7,0.000001902392,0.0001591762,0.000001036258,0.0002103183],"genre_scores_gemma":[0.9990805,0.00003932438,0.00005526187,0.00002029873,5.273849e-7,0.000003873807,0.0002615548,0.000001849395,0.0005368087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2958599,"threshold_uncertainty_score":0.5952045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04809268074733082,"score_gpt":0.2707521856422986,"score_spread":0.2226595048949678,"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."}}