{"id":"W4296619940","doi":"10.1093/jas/skac247.521","title":"PSXII-14 Impact of Nitrogen Application and Intercrop Forage Species on Chemical Composition and Yield of Standing Corn and Intercropped Forages","year":2022,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Intercropping; Lolium multiflorum; Agronomy; Forage; Vicia villosa; Red Clover; Biology; Raphanus; Vicia sativa; Grazing; Trifolium alexandrinum; Fodder; Cover crop","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":[0.0006825316,0.00007267811,0.0001955004,0.00003981385,0.0001467144,0.00005687028,0.0001803559,0.00002045322,0.00003131369],"category_scores_gemma":[0.00005748103,0.00003164351,0.00005257005,0.0001619312,0.0002682382,0.0003216681,0.0001733172,0.0001294501,1.027271e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007541445,"about_ca_system_score_gemma":0.00001461708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001433021,"about_ca_topic_score_gemma":0.000006429806,"domain_scores_codex":[0.9991996,0.00003448641,0.0003037647,0.0001346856,0.0002157304,0.0001117357],"domain_scores_gemma":[0.9992309,0.0001590091,0.0004258119,0.00002778919,0.00008535201,0.00007110404],"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":[0.0004014139,0.00004092841,0.01439581,0.000008114005,0.000009724558,9.685159e-7,0.0002514213,0.000002069764,0.9818571,0.000188175,0.00004485177,0.002799489],"study_design_scores_gemma":[0.0007157102,0.01720805,0.5338295,0.0003652358,0.00006496679,0.0009473548,0.008860538,0.002386145,0.4343026,0.0005913538,0.000372857,0.0003557015],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993215,0.000130259,0.00004901302,0.0002198155,0.0000330624,0.00008210361,0.00002232714,0.000002410631,0.0001395629],"genre_scores_gemma":[0.9998271,0.00004280827,0.00006209781,0.00001785029,0.00004392667,0.000001026872,8.699835e-7,6.133308e-7,0.000003684419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5475544,"threshold_uncertainty_score":0.1290385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03155663546786846,"score_gpt":0.2716603777180514,"score_spread":0.2401037422501829,"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."}}