{"id":"W7064456980","doi":"","title":"Benefits of mixing grasses and legumes for herbage yield and nutritive value in Northern Europe and Canada","year":2014,"lang":"en","type":"article","venue":"MURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth)","topic":"Electrical and Electromagnetic Research","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monoculture; Yield (engineering); Red Clover; Trifolium repens; Weed; Phleum; Agropyron","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":[0.0002695255,0.0001370018,0.000262189,0.0003591752,0.0003133103,0.00002903862,0.000272652,0.00004258805,0.00004604422],"category_scores_gemma":[0.00006386404,0.0001499995,0.00004274582,0.0003643648,0.0004433371,0.0004221397,0.0003537438,0.0003116343,5.95658e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003443561,"about_ca_system_score_gemma":0.0003691382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1487325,"about_ca_topic_score_gemma":0.0617868,"domain_scores_codex":[0.9985011,0.0002427108,0.0001295702,0.0003446973,0.0004026669,0.0003792467],"domain_scores_gemma":[0.9977538,0.00170694,0.00007236304,0.00009290488,0.0001845997,0.0001894035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009771524,0.0001739233,0.8081345,0.00021309,0.0001153773,0.00001390428,0.0004208532,0.0001423821,0.001295792,0.1774722,0.002934523,0.00810632],"study_design_scores_gemma":[0.004860788,0.001433214,0.9377581,0.0003163292,0.00004030237,0.000006409304,0.003018392,0.00562927,0.001301416,0.03001722,0.01510664,0.0005119282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807217,0.0001506581,0.0004896392,0.001187426,0.000007029367,0.0003266269,0.0003644329,0.000006760823,0.01674574],"genre_scores_gemma":[0.9960175,0.0002352576,0.0008198973,0.00001419503,0.00003513008,3.243932e-7,0.00007549873,0.00001098792,0.002791207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.147455,"threshold_uncertainty_score":0.9553331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306647672329797,"score_gpt":0.2046846780157762,"score_spread":0.1916182012924783,"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."}}