{"id":"W4379650911","doi":"10.1002/agj2.21402","title":"Forage harvest management impacts “Kernza” intermediate wheatgrass productivity across North America","year":2023,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Forage; Agronomy; Perennial plant; Biology; Productivity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004544391,0.0001961702,0.0001847869,0.00003621122,0.000604275,0.0003639279,0.0003646239,0.00003919543,0.0003107697],"category_scores_gemma":[0.00001909781,0.00008125111,0.0001456772,0.0006846414,0.000111254,0.0004682304,0.0002998335,0.0002418905,0.0004014943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007670003,"about_ca_system_score_gemma":0.000007029291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009306156,"about_ca_topic_score_gemma":0.0008282082,"domain_scores_codex":[0.9983441,0.00008357701,0.0002864923,0.0003899379,0.0002691715,0.0006267388],"domain_scores_gemma":[0.999376,0.00002203468,0.0001858369,0.0001118823,0.00006401745,0.0002402582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004723459,0.0001464561,0.01763009,0.0000191636,0.0001356567,0.000105446,0.0003205097,0.0001747741,0.001147553,0.0000741447,0.06551408,0.9146849],"study_design_scores_gemma":[0.0001472428,0.0001036672,0.5420358,0.00001403193,0.00001230718,0.00002423905,0.000943507,0.00001506707,0.0001791334,0.0001305708,0.4562316,0.0001628814],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903686,0.00008161851,0.0000616035,0.007040706,0.00078952,0.0002270026,0.00001867808,0.0001654054,0.00124684],"genre_scores_gemma":[0.9924806,0.0006731131,0.0001057962,0.0003484131,0.0009725222,0.00002830821,0.00008091853,0.000002559014,0.005307739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.914522,"threshold_uncertainty_score":0.5160531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654191548293495,"score_gpt":0.2360454432230322,"score_spread":0.2195035277400973,"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."}}