{"id":"W7052504495","doi":"","title":"Row Spacing and Productivity of Russian Wild Rye Pastures in Semiarid Environments","year":2023,"lang":"en","type":"article","venue":"UKnowledge (University of Kentucky)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Forage; Weed; Crop yield; Biomass (ecology); Ecosystem; Arid; Crop","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":[0.0001451943,0.00007650538,0.0001533022,0.0001219379,0.00006725508,0.000003406436,0.00009233976,0.00002624233,0.00007272993],"category_scores_gemma":[0.000003068551,0.00009104121,0.00003172437,0.0002789413,0.00008336841,0.0001667509,0.0001127181,0.0000843837,0.0000238378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000170282,"about_ca_system_score_gemma":0.00002035545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000124032,"about_ca_topic_score_gemma":0.00009136408,"domain_scores_codex":[0.9994853,0.00002537602,0.0000825776,0.000166473,0.00008716686,0.000153173],"domain_scores_gemma":[0.9997332,0.00001844996,0.00007520953,0.0001233854,0.000007811618,0.0000420066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004498513,0.00008221337,0.9687542,0.00004777628,0.00003719799,0.000002665158,0.004480377,0.00003602926,0.01232168,0.0004771693,0.0002708418,0.01344485],"study_design_scores_gemma":[0.0006002571,0.00002658157,0.9779329,0.00006325921,0.00001276531,1.713781e-7,0.001199057,0.0008491707,0.01619016,0.0003008301,0.002705585,0.0001193084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960831,0.00002898553,0.00009519661,0.00009071205,0.00005528148,0.00009386124,0.000009436884,0.00001075353,0.003532661],"genre_scores_gemma":[0.9988066,0.00001677808,0.0001414219,8.759577e-7,0.0000254522,3.054924e-7,0.000008616727,0.000004619399,0.0009953093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01332554,"threshold_uncertainty_score":0.3712553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00791590781299073,"score_gpt":0.1872704272988387,"score_spread":0.179354519485848,"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."}}