{"id":"W2387856130","doi":"","title":"Research Advance in Nutritive Value, Cultivation and Utilization of Timothy","year":2003,"lang":"en","type":"article","venue":"Grassland and Turf","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phleum; Forage; Agronomy; Biology; Yield (engineering); Biotechnology","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":[0.000286927,0.0000412949,0.00005609197,0.00004851581,0.00004524734,0.00001026012,0.00002244225,0.00002141331,0.00005872798],"category_scores_gemma":[0.00004462664,0.00003527863,0.000005717025,0.000212638,0.00008202485,0.0001274884,0.00002442612,0.00004787827,0.000004398062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001741416,"about_ca_system_score_gemma":0.000002295231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001137842,"about_ca_topic_score_gemma":0.0001338049,"domain_scores_codex":[0.9994785,0.00006816715,0.00008672888,0.0001347912,0.0001372813,0.00009453423],"domain_scores_gemma":[0.9998564,0.00003693045,0.00002342988,0.00004787861,0.000008200398,0.00002722656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004931363,0.0002364916,0.8097508,0.00007158223,0.000008332263,0.000005593491,0.00195311,0.0004522025,0.006012272,0.1354651,0.001416322,0.04457892],"study_design_scores_gemma":[0.0006996806,0.0000545267,0.9604967,0.00002360188,0.000002258878,0.00000106889,0.0007225784,0.0007527423,0.00160674,0.01170799,0.0238646,0.00006750507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972577,0.0001990327,0.001189448,0.0001573299,0.00002171832,0.0001917161,0.000002060273,0.000005928732,0.02565581],"genre_scores_gemma":[0.9984606,0.0004927997,0.0006303927,0.00002664321,0.000002960475,0.000007642451,0.000003362149,0.000002708988,0.0003729266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1507459,"threshold_uncertainty_score":0.1438621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03739376395473386,"score_gpt":0.3151965796549456,"score_spread":0.2778028157002118,"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."}}