{"id":"W7066458591","doi":"","title":"Hybrids Between Meadow and Smooth Bromegrass: A New Forage Crop for Canada","year":2023,"lang":"en","type":"article","venue":"UKnowledge (University of Kentucky)","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pasture; Forage; Hybrid; Hay; Bromus inermis; Crop; Agriculture","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001236826,0.00009184266,0.000149956,0.00006783254,0.0001703076,0.00001015256,0.0002087668,0.00003098198,0.0003991913],"category_scores_gemma":[0.00002233185,0.0001102072,0.00004652356,0.0003215488,0.00008674979,0.0001289873,0.0002392294,0.00004515079,0.00006817622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001575697,"about_ca_system_score_gemma":0.00006181136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.173601,"about_ca_topic_score_gemma":0.5990437,"domain_scores_codex":[0.9992722,0.00001740135,0.00008201262,0.0002409094,0.0001787328,0.0002087482],"domain_scores_gemma":[0.9995531,0.00005029473,0.00006625801,0.0001546294,0.00001331161,0.0001623809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004392759,0.00003104331,0.02061219,0.00008018019,0.00006613637,0.00002391209,0.001598805,0.0001360322,0.0003997953,0.00112745,0.8583768,0.1175037],"study_design_scores_gemma":[0.0009142273,0.00006323316,0.3239446,0.00001672787,0.00005240809,3.712148e-7,0.001456025,0.001207592,0.0000669966,0.0006841215,0.6714204,0.0001732702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9545832,0.00005982382,0.01512689,0.003552194,0.0002685026,0.0007134029,0.0001003903,0.0001344037,0.02546122],"genre_scores_gemma":[0.9511915,0.00004379531,0.001774356,0.00005341345,0.00002530638,6.263924e-7,0.00003736404,0.00001097706,0.04686259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4254427,"threshold_uncertainty_score":0.8319021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499322318310445,"score_gpt":0.1935820358802927,"score_spread":0.1785888126971882,"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."}}