{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003534455,0.0002289426,0.0001644013,0.0006001262,0.003440737,0.001087824,0.0005060749,0.0002809158,0.003643961],"category_scores_gemma":[0.0002973651,0.0001216554,0.0001290727,0.0006158836,0.000550668,0.0004303743,0.000605449,0.0004936535,0.0002833007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01083785,"about_ca_system_score_gemma":0.01078122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9204417,"about_ca_topic_score_gemma":0.9885358,"domain_scores_codex":[0.9997402,0.00001591718,0.000006869857,0.00005735387,0.0001031721,0.00007646982],"domain_scores_gemma":[0.9995914,0.00003250677,0.00002105627,0.00001634298,0.0001696436,0.0001689872],"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":[0.0017178,0.0004380617,0.2345885,0.0003340942,0.0001368365,0.003649121,0.007302914,0.0008676196,0.3688979,0.009416162,0.01326871,0.3593822],"study_design_scores_gemma":[0.0001030699,0.0006162255,0.7459364,0.0001240269,0.0001161774,0.002355456,0.008578636,0.002080269,0.02673274,0.001484416,0.2116988,0.0001738218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785136,0.002007147,0.001322327,0.001069743,0.00004391953,0.0000488062,0.001098169,0.0001114026,0.01578487],"genre_scores_gemma":[0.9722402,0.001298545,0.004750724,0.0003100056,0.000009272699,0.00001833915,0.001469113,0.00004970681,0.01985408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07955831,"threshold_uncertainty_score":0.1600537,"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."}}