{"id":"W2001308386","doi":"10.2134/agronj2010.0490","title":"Seeding Rate, Nitrogen Rate, and Cultivar Effects on Malting Barley Production","year":2011,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture Food and Rural Development; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Alberta Barley","keywords":"Cultivar; Seeding; Hordeum vulgare; Agronomy; Yield (engineering); Grain yield; Test weight; Biology; Maturity (psychological); Field experiment; Poaceae; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005063274,0.0001179199,0.0001246887,0.00001687377,0.0003806405,0.00006661191,0.00008848984,0.00006596993,0.0001320933],"category_scores_gemma":[0.00003836831,0.00004458431,0.0000507588,0.00008649925,0.00003279341,0.0001126228,0.00003202639,0.0001842721,0.0000218541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001143575,"about_ca_system_score_gemma":0.000005757404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002026871,"about_ca_topic_score_gemma":0.0000121181,"domain_scores_codex":[0.9992143,0.0001388008,0.000153343,0.0001973845,0.00005584568,0.0002403503],"domain_scores_gemma":[0.9996496,0.00007335244,0.00008444726,0.0000266058,0.00004912182,0.0001168451],"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":[0.00009505112,0.00007076277,0.1274615,0.00001225561,0.00003506124,0.00004405879,0.0004953277,0.000002270401,0.7090279,0.0001597456,0.001355526,0.1612405],"study_design_scores_gemma":[0.0003712804,0.001152758,0.7474742,0.0001040189,0.00003960193,0.0004685132,0.0005168358,0.00001333325,0.2385688,0.004886063,0.00605378,0.0003507944],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996627,0.0003848727,0.000005900808,0.0003852843,0.0003288682,0.0001088745,0.000001017552,0.00001684118,0.002141373],"genre_scores_gemma":[0.9981329,0.0001698606,0.0003472363,0.0001441195,0.001011779,0.000004700532,0.000003592596,0.000001156651,0.0001846352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6200127,"threshold_uncertainty_score":0.2927617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02448097946993442,"score_gpt":0.2050805243038861,"score_spread":0.1805995448339517,"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."}}