{"id":"W3168155902","doi":"","title":"Yield and quality of Manitoba oats as affected by cultivar and nitrogen fertility","year":2000,"lang":"en","type":"article","venue":"","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cultivar; Yield (engineering); Fertility; Agronomy; Quality (philosophy); Nitrogen; Biology; Demography; Population; Chemistry; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002795799,0.0003590449,0.0002898318,0.0007634639,0.0006561702,0.0007886182,0.0003128057,0.0001838654,0.001042874],"category_scores_gemma":[0.0006463468,0.0003035401,0.0001928844,0.000898949,0.0004866795,0.0003138976,0.000449659,0.0003222613,0.000265556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002446985,"about_ca_system_score_gemma":0.0009494817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3338127,"about_ca_topic_score_gemma":0.5822006,"domain_scores_codex":[0.9998744,0.00002067777,0.000007691943,0.00002967796,0.00003538486,0.00003216557],"domain_scores_gemma":[0.9994265,0.0001031831,0.0001122912,0.00002322392,0.0001678225,0.00016693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004029642,0.0001974487,0.5460843,0.00006921029,0.0002712363,0.0008181279,0.003178514,0.000443468,0.4367198,0.0002774728,0.0004321448,0.00747863],"study_design_scores_gemma":[0.00001035572,0.0001217485,0.9945233,0.000002199114,0.00003222228,0.00007857705,0.0005069787,0.0002410749,0.004124079,0.00002791411,0.0003241271,0.000007446215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993373,0.00005573995,0.00003723549,0.00001762747,0.000001501362,0.000002662594,0.0001521513,0.000003234047,0.0003925511],"genre_scores_gemma":[0.9963934,0.0001023111,0.0001287674,0.00003741409,0.000001860334,0.000005589107,0.0005710665,0.000009893517,0.002749678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6661873,"threshold_uncertainty_score":0.6637393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03366750865700999,"score_gpt":0.2472055751136423,"score_spread":0.2135380664566323,"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."}}