{"id":"W4283783081","doi":"10.1002/glr2.12021","title":"Screening of tall fescue genotypes for relative water content and osmotic potential under drought stress","year":2022,"lang":"en","type":"article","venue":"Grassland Research","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bayer (Canada)","funders":"","keywords":"Festuca arundinacea; Shoot; Biology; Water content; Agronomy; Forage; Perennial plant; Greenhouse; Horticulture; Irrigation; Genotype; Growing season; Drought tolerance; Animal science; Poaceae","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":[0.0002397141,0.0002406174,0.0001919204,0.0003883598,0.0002140608,0.0001740366,0.0001438774,0.0001937506,0.0006022149],"category_scores_gemma":[0.0001841173,0.00009290678,0.0001572504,0.0002023576,0.000127375,0.00008846146,0.0001524136,0.0001637591,0.0001037038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002208779,"about_ca_system_score_gemma":0.0001350251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0022503,"about_ca_topic_score_gemma":0.004015586,"domain_scores_codex":[0.9999021,0.00001821975,0.00001013712,0.00003910962,0.00001283086,0.0000175527],"domain_scores_gemma":[0.9997801,0.00006247978,0.00005075914,0.00001938038,0.00003459288,0.00005265124],"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":[0.0001634814,0.00003683228,0.007249764,0.00002058539,0.00001385617,0.00006036304,0.00006664587,0.00006881845,0.9909934,0.0000294154,0.00002602836,0.001270754],"study_design_scores_gemma":[0.00004309306,0.0006841573,0.8555202,0.00001181532,0.0000804363,0.0004318854,0.0002811029,0.001189251,0.1403061,0.00005902303,0.001369573,0.00002340986],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989518,0.00003946947,0.0004615014,0.000006648892,0.000001458516,0.00001188422,0.0003931768,0.00001236021,0.0001216526],"genre_scores_gemma":[0.9952071,0.0000452379,0.002088024,0.00002397753,0.00000208953,0.00004399524,0.001890914,0.00001378473,0.0006849451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0022503,"threshold_uncertainty_score":0.004474401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1004873824137425,"score_gpt":0.309019322847512,"score_spread":0.2085319404337695,"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."}}