{"id":"W4388201677","doi":"10.1002/cft2.20256","title":"Effect of fall harvest time on forage yield and nutritive value of three alfalfa cultivars with different root types","year":2023,"lang":"en","type":"article","venue":"Crop Forage & Turfgrass Management","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Medical Association; Agriculture and Agri-Food Canada; University of Saskatchewan; University of Alberta; Saskatchewan Ministry of Agriculture","funders":"","keywords":"Cultivar; Forage; Agronomy; Medicago sativa; Biology; Hay; Nutrient; Yield (engineering); Dry matter; Neutral Detergent Fiber; Sowing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002018716,0.0002333106,0.0004026649,0.00005585933,0.0001076532,0.0000283326,0.0001990717,0.00006937364,0.00004971847],"category_scores_gemma":[0.00002768999,0.00008786075,0.0001055217,0.000356748,0.0001805581,0.00007385929,0.0001630772,0.00009169609,0.00003311223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001694372,"about_ca_system_score_gemma":0.000001599958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001042926,"about_ca_topic_score_gemma":0.0001780719,"domain_scores_codex":[0.9988064,0.0000892204,0.0002224637,0.0003652724,0.000233033,0.0002835972],"domain_scores_gemma":[0.999243,0.0003864964,0.0001429434,0.0001023464,0.00004886188,0.00007636072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007977244,0.003102396,0.1823065,0.00287544,0.00125467,0.0004324481,0.0003227241,0.0005469516,0.5587351,0.04255943,0.01380933,0.1860777],"study_design_scores_gemma":[0.0009778048,0.005965373,0.9483305,0.0004231892,0.00009838829,0.000002373583,0.00009825591,0.0001821404,0.04072381,0.001469824,0.001454753,0.0002735681],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965274,0.00007101073,0.00002098974,0.000420271,0.00004587682,0.0007307288,0.00009800017,0.00006114638,0.002024527],"genre_scores_gemma":[0.9989715,0.00009914438,0.00001316576,0.00004212224,0.00003428123,0.0000646461,0.0001224675,0.00000322297,0.0006494264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.766024,"threshold_uncertainty_score":0.3582858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237206566660448,"score_gpt":0.2240219833131717,"score_spread":0.2116499176465673,"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."}}