{"id":"W6959733568","doi":"10.1139/cjss2013-096","title":"Simulating maize (Zea mays L.) growth and yield, soil nitrogen concentration, and soil water content for a long-term cropping experiment in Ontario, Canada","year":2014,"lang":"en","type":"article","venue":"BioOne Complete (BioOne)","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"DSSAT; Cropping system; Nitrogen; Leaf area index; Soil water; Cropping; Water content; Cover crop; Biomass (ecology)","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":[0.0005332255,0.0009002961,0.000461092,0.0003651637,0.001487714,0.0006857236,0.001689595,0.0007242834,0.001201114],"category_scores_gemma":[0.0007053689,0.0005096578,0.0008785914,0.0009041934,0.0005256094,0.0004417365,0.0003561202,0.0005808032,0.0001664954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02950646,"about_ca_system_score_gemma":0.01167852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9836992,"about_ca_topic_score_gemma":0.98705,"domain_scores_codex":[0.9997651,0.00002532695,0.00001596708,0.00006808616,0.00005913387,0.00006638982],"domain_scores_gemma":[0.999369,0.0001455274,0.00005485926,0.00003047371,0.0003102889,0.00008991682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00184292,0.0008228354,0.1309454,0.0003189267,0.0003825334,0.0005097192,0.0004434747,0.8076846,0.03287839,0.0009160721,0.005125247,0.01812998],"study_design_scores_gemma":[0.000439162,0.0003975844,0.1541654,0.0000226633,0.0001923752,0.00003966684,0.0005564145,0.8335286,0.007120239,0.0002186868,0.003216223,0.0001030632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940071,0.0001200956,0.0008101116,0.0001130659,0.000008901815,0.00007970937,0.002766114,0.00009610679,0.001998945],"genre_scores_gemma":[0.9926547,0.0001664512,0.001970185,0.00003350565,0.000001751823,0.00005454716,0.003296436,0.00002185753,0.001800539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02950646,"threshold_uncertainty_score":0.2140853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1481716598922413,"score_gpt":0.2212615077841593,"score_spread":0.07308984789191797,"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."}}